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«Скайнет» наоборот: как вырастить и обучить ИИ с помощью Дарвин-Гёдель машины для улучшения человеческой демографии
Разрабатываем и растим «цифрового губера» - консультанта по вопросам государственного политического управления, демографии и миграции. Решаем задачу оптимизации экономики и миграционной политики для устойчивого демографического роста в 89 регионах с помощью взаимодействующих друг с другом и обменивающихся опытом ИИ-агентов. Мультиагентное обучение на основе мутаций, скрещивания и эволюции, Multi-Agent Deep Deterministic Policy Gradient и Darwin Gödel Machine. Ахтунг, дальше - слишком многабукв и кода!
Пока ИИ у нас на четырех колесах и в коляске
Постановка проблемы
Еще Ибн Халдун, а вслед за ним В. Парето, Г.Моска и прочие специалисты по теории элит говорили, что «кожаные мешки» принимают далеко не лучшие решения в управлении. Можно обратить внимание на то, что в современных изысканиях по структурно-демографической теории, а также вопросах кризисов, катастроф и революций Джека Голдстоуна и Питера Турчина «элитные кожаные мешки», склонны к перепроизводству, а значит, к избыточной конкуренции друг с другом, повышенной агрессии, престижному потреблению ресурсов и «отрицательному кадровому отбору» при закрытых социальных лифтах и ограниченной социальной мобильности.
Поневоле возникает идея, что «когда ИИ придет – порядок наведет». И в самом деле, зачем ИИ уничтожать человечество, если люди и так к этому склонны? А вот использовать их эмоции, хаотическое поведение (асабию, солидарность, креативность, склонность к кумовству и коррупции .....) для развития, экспериментов – представляется вполне рациональным и обоснованным решением.
Итак, впереди «слишкаммногобукфф», много кода и контуры решения в общем-то вполне «человечных» и даже «слишком человеческих» задач:
- как улучшить демографические показатели территории?
- как оптимизировать миграционные процессы с минимумом социально-политической нестабильности?
- как рационально и эффективно использовать имеющиеся ресурсы для устойчивого экономического роста?
- как согласовывать и координировать процедуры политического управления межу различными действующими политическими акторами?
Проблемы современной демографии или немного азимовской «гариселдовщины»
Политика в области демографии и миграции имеет естественные ограничения и пределы: часть из них задана предшествовавшей историей, демографическими циклами и волнами, ресурсными и экономическими ограничениями, определенной инерцией и «массивностью» социальных процессов, консерватизмом институтов управления.
Улучшение демографических показателей и оптимизация миграционных процессов с помощью идеологии, информационной повестки имеет место быть в очень ограниченных масштабах. Обычные политтехнологические методы, равно как и популистский подход в долгосрок не работают, поскольку призваны купировать острую ситуацию и решать краткосрочные тактические задачи.
Долгосрочные тренды, в том числе определяющие матримониальные стратегии молодежи и зрелого населения, подчиняются другим правилам. Так, к примеру, тактическими методами можно улучшить показатель демографического воспроизводства населения на одной территории с 1,4 до 1,5. Но довести его до 2,2 или 2,5 теми же методами – проблематично. Это, батенька, не гиперпараметры ML-моделькам подбирать с помощью optuna.
Демография и миграционные процессы - сложная штука, сгубившая не одну империю
Для смены демографической модели требуется минимум поколение. А в современных условиях основная проблема – это не только темпы рождения детей. Задача выглядит теоретически решаемой: путем регресса, архаизации общества и возвращения его на доиндустриальный этап развития, но к этому времени численность населения уже сократится в несколько раз как уже бывало после Катастрофы бронзового века, крушения Западной Римской империи или иных «темных веков» в истории человечества.
Главное – это социальный капитал, социальное воспроизводство: ребенка нужно одеть-обуть, воспитать, обучить и обеспечить как минимум достижение им уровня родителей, а для государства – обеспечить доступ к традиционным духовно-нравственным ценностям, социализовать через общественные институты и вовлеченность в политическую традицию. Иначе дальнейшая политическая дорожка будет слишком бугристой.
О молодежных буграх, революциях и политической нестабильностиВ отсутствие этих действий можно получить «молодежный бугор» и 100% вероятность реализации сценария «арабской весны» или иной катастрофы революционной природы. То же самое справедливо в случае с бесконтрольной миграцией – Великое переселение народов как и случившееся за полторы тысячи лет ранее «Вторжение народов моря» погубили не одну империю и цивилизацию древности. Ослабевшие вследствие кризиса политические и социальные институты раннеисторических обществ не смогли переварить и адаптировать новых членов социума, несмотря на то, что «вторгавшихся» и просто переселявшихся было в разы меньше, чем оседлого коренного населения.
В современных условиях растущего неравенства между слоями большого города социальное воспроизводство стало дорогим. Стоимость квартиры растет быстрее инфляции, метраж средней сдаваемой в эксплуатацию новостройки по стране с 2000 по 2025 год уменьшился на 1 комнату с 80 до 50 квадратных метров за исключением элитных сегментов.
Логика простая: минус одна комната – минус один ребенок в семье. Программы льготной ипотеки увеличили цену квартир, позволили заработать банковской сфере, но де факто не увеличили доступность жилья.
Другие составляющие: обучение и получение высшего образования – начиная от колоссальных затрат на подготовку к ЕГЭ (60% московских детей пользуются услугами частных репетиторов) и до затрат на обучение в вузе. А сложность ЕГЭ – постоянно растет. И сам инструмент из крайне эффективного на первых этапах инструмента социальной мобильности потихоньку превращается в ее ограничитель. Поэтому в последнее время так активно пропагандируется среднее профессиональное образование и сокращаются возможности к получению высшего.
Меры государственной поддержки работают крайне разнонаправленно в отношении разных социальных слоев.
Элита и верхний сегмент среднего класса от них мало зависимы. Для элиты свойственно большее число детей в силу естественной склонности к «элитному перепроизводству» - так было издревле, поскольку есть лучшие условия питания, медицина и образование, а закрытые статусные социальные группы всегда давали больше возможностей для реализации «матримониальных стратегий». Рынок элитного жилья иллюстрирует данный закон.
«Средний средний класс» не заинтересован в экономической поддержке от государства, поскольку она не компенсирует социальное воспроизводство и не покрывает «упущенную выгоду» от времени, которое родители тратят на воспитание детей. Поэтому они живут для себя и не хотят ограничивать свою свободу. И да, здесь в развитых обществах мы видим то самое «взрослое детство» и пресловутый инфантилизм.
Нижний сегмент среднего класса и уровень ниже более заинтересованы в государственной поддержке, поскольку она уже помогает компенсировать социальное воспроизводство.
Наконец, маргинальные классы, прекариат, «устойчиво бедные» - так же негативно реагируют на меры государственной поддержки.
Здесь мы на примитивном уровне рассмотрели социально-экономическую структуру общества – без учета национально-культурных, региональных особенностей, структуры экономики, которые вносят существенные коррективы в управление демографией.
Вторая составляющая проблемы — это миграция – как внутренняя, связанная с «западным дрейфом», так и миграцией молодёжи и населения в репродуктивном возрасте в крупные центры в поисках образования, работы и лучшего качества жизни. Есть и внешняя миграция, которая в определенных, допустимых пределах с учетом интеграции новых граждан в локальные сообщества и общее социальное пространство страны, является благом для государства, экономики и демографии. Но при пренебрежительном отношении она способна стать основанием для будущих социальных кризисов и потрясений.
Хьюстон, у нас проблемы: одни и те же меры государственного управления и стимулирования по-разному работают в отношении разных социальных слоев, регионы обладают разной экономической базой и возможностями. Внешние миграционные потоки не совпадают с интересами и приоритетами государственной политики и приводят к неоднородностям и размытию социального пространства. Внутренние миграционные потоки приводят к образованию «выморочных мест», образовательных или университетских пустынь.
Будем их решать.
Модельная среда
Наш идеал – это 89 ИИ-агентов, помогающих управлять территориями, их экономическим развитием, миграционной политикой и собственно принимать политические решения на уровне региональных органов исполнительной власти (РОИВ) или муниципалитетов (ОМСУ) по стимулированию/ограничению миграции, методам и технологиям. Естественно, под мудрым руководством федерального центра.
Смоделировать полностью всю среду для у нас не получится – для этого нужны большие вычислительные мощности из-за пресловутого «проклятия размеренности» в машинном обучении. Остановимся на нескольких факторах и управляющих действиях. Учить будем сначала 7 агентов, а потом будем добавлять в песочницу остальных. Методика обучения - Multi-agent Deep Deterministic Policy Gradient.
MADDPG — алгоритм, который позволяет нескольким агентам обучаться и сотрудничать друг с другом на основе коллективных наблюдений и действий. Это реализация алгоритма DDPG (Deep Deterministic Policy Gradient)
Централизованное обучение и децентрализованное выполнение. Во время обучения все агенты управляются центральным модулем (в случае с аналогией с политической системой - пресловутым «федеральным центром») или критиком, но во время тестирования центральный модуль исключается, а агенты со своими политиками и локальными данными остаются.
Возможность работы в сложных сценариях. MADDPG может обрабатывать кооперативное, конкурентное и смешанное поведение без необходимости в заранее запрограммированных действиях. Конкуренция территорий за ресурсы, кадры, мигрантов - крайне необходима, так как позволяет моделировать реальные процессы и поведение экономически рациональных субъектов.
Доступ к локальной информации. Во время выполнения агенты могут использовать только локальную информацию, только то, что они видят и могут пощупать, что делает алгоритм более вычислительно эффективным.
Обучение с использованием ансамблей политик. Чтобы компенсировать недостаток переобучения на поведении других агентов, MADDPG обучает коллекцию из набора подполитик для каждого агента
Система актор-критик в MADDPG: каждый агент имеет собственную сеть акторов, которая выбирает действия на основе собственных наблюдений. У всех агентов общая сеть критика, которая оценивает качество действий на основе коллективных наблюдений всех агентов.
Применяется в различных киберфизических системах от "роя дронов" до решения наших любимых задач политического управления.
Итак, мы учим управляющих семью регионами. Работать будем хоть и в упрощенной, но кастомной среде с Torch без песочниц типа Gymnasium
# ================== Гиперпараметры ==================
NUM_REGIONS = 7 # Общее количество регионов (агентов) в задаче - может быь установлено произвольно
EPISODES = 100 # Общее количество эпизодов для обучения
STEPS = 200 # Количество шагов в каждом эпизоде
TOTAL_STEPS = EPISODES * STEPS # Общая длительность одного эпизода
BATCH_SIZE = 64 # Размер батча для обучения моделей
GAMMA = 0.95 # Коэффициент дисконтирования для вознаграждения
TAU = 0.01 # Параметр для мягкого обновления целевой сети
LR_ACTOR = 0.001 # Скорость обучения для сети Actor
LR_CRITIC = 0.002 # Скорость обучения для сети Critic
HIDDEN_SIZE = 64 # Размер скрытого слоя в нейронной сетиStage 1. Описание эксперимента с 7 агентами и 7 регионами
Каждый раз у нас создается 7 разных регионов с четырьмя уникальными показателями (население, ресурсы, экономика, политика). Функция награды учитывает поддержание баланса населения, рост экономики, сохранение ресурсов, согласование политик между управляющими агентами. Опять же для упрощенной модели мы используем простую кольцевую топологию объединения территорий и взаимодействия агентов.
Модель среды# ================== Модель среды ==================
class MigrationEnvironment:
"""Симулятор миграционной системы между регионами""" # Описание класса
def __init__(self): # Конструктор класса
self.reset() # Вызываем метод сброса для начальной инициализации
def reset(self):
"""
Инициализация состояния системы:
[население, ресурсы, экономика, миграционная политика]
"""
self.states = np.random.uniform(0.5, 1.5, (NUM_REGIONS, 4)) # Начальные значения состояний
self.states[:,3] = 0.0 # Исходная политика нейтральная
return self.states.copy() # Возвращаем копию начальных состояний
def step(self, actions):
"""
Шаг симуляции
Вход: действия агентов (изменения политики)
Выход: новые состояния, награды, флаг завершения
"""
next_states = np.zeros_like(self.states) # Массив для новых состояний
rewards = np.zeros(NUM_REGIONS) # Массив для наград
for i in range(NUM_REGIONS): # Проходим по каждому региону
# 1. Обновление миграционной политики
self.states[i,3] = np.clip(self.states[i,3] + actions[i][0], -1, 1) # Применяем изменения политики
# 2. Расчет миграционных потоков
migration = 0.1 * (self.states[i,3] - np.mean([self.states[j,3] for j in self.neighbors(i)])) # Рассчитываем миграционный поток
self.states[i,0] = np.clip(self.states[i,0] + migration, 0.1, 2.0) # Обновляем население с учетом миграции
# 3. Экономическая динамика
economic_growth = 0.05 * self.states[i,0] * (1 + self.states[i,3]) # Вычисляем экономический рост
self.states[i,2] = np.clip(self.states[i,2] + economic_growth, 0.1, 2.0) # Обновляем экономику
# 4. Потребление ресурсов
resource_usage = 0.02 * self.states[i,0] * self.states[i,2] # Рассчитываем потребление ресурсов
self.states[i,1] = np.clip(self.states[i,1] - resource_usage, 0.1, 2.0) # Обновляем уровень ресурсов
# 5. Расчет наград (целевые показатели)
rewards[i] = self._calculate_reward(i) # Рассчитываем награду для текущего региона
return self.states.copy(), rewards, False, {} # Возвращаем обновленные состояния, награды и флаг завершения
def _calculate_reward(self, region):
"""Комплексная функция вознаграждения для региона"""
pop_balance = -abs(self.states[region,0] - 1.0) # Баланс населения
economy = self.states[region,2] - 1.0 # Рост экономики
resources = -0.5*(1.0 - self.states[region,1]) # Сохранение ресурсов
policy_align = 0.2 * np.mean([1 - abs(self.states[region,3] - self.states[j,3]) for j in self.neighbors(region)]) # Согласованность политики
return pop_balance + economy + resources + policy_align # Итоговая награда
def neighbors(self, region):
"""Топология соседства регионов (кольцевая структура)"""
return [(region-1)%NUM_REGIONS, (region+1)%NUM_REGIONS] # Соседи по кольцуНачальные значения параметров каждого региона генерируются случайно в диапазоне [0,5, 1,5]. Состояния среды, каждый регион описывается четырьмя параметрами: население (численность), ресурсы (доступные для использования), экономика (уровень экономического развития), миграционная политика (управляемый параметр).
Действия агентов. Агенты могут принимать следующие решения: изменение миграционной политики региона, действие ограничено в диапазоне [-1, 1], влияет на миграционные потоки, экономику и потребление ресурсов.
Функция вознаграждения комплексная и включает следующие компоненты: стремление к оптимальной численности населения (~1,0), максимизацию экономического роста, сохранение доступных ресурсов, согласованность политики с соседними регионами.
Далее мы прописываем архитектуру нейросетей (модуль актор-критик), реализуем сам класс MADDPG с добавлением шумовых эффектов (в реальности случаются пандемии и прочие нехорошие явления, связанные с численностью населения и демографией), буфером опыта и мягким обновлением сети и классом управляющего агента - Agent.
# ================== Архитектура нейросетей ==================
class Actor(nn.Module):
"""Политика агента (децентрализованная)""" # Описание класса
def __init__(self): # Конструктор класса
super().__init__() # Наследуем методы базового класса
self.net = nn.Sequential( # Последовательность слоев
nn.Linear(4, HIDDEN_SIZE), # Входной слой: 4 состояния -> HIDDEN_SIZE нейронов
nn.ReLU(), # Активационная функция ReLU
nn.Linear(HIDDEN_SIZE, HIDDEN_SIZE//2), # Скрытый слой: HIDDEN_SIZE -> HIDDEN_SIZE/2
nn.ReLU(), # Активационная функция ReLU
nn.Linear(HIDDEN_SIZE//2, 1), # Выходной слой: HIDDEN_SIZE/2 -> 1 выход
nn.Tanh() # Функция активации Tanh для нормализации выхода в диапазон [-1, 1]
)
def forward(self, x): # Метод прямого распространения
return self.net(x) # Пропускаем вход через сеть
class Critic(nn.Module):
"""Ценностная функция (централизованная)""" # Описание класса
def __init__(self): # Конструктор класса
super().__init__() # Наследуем методы базового класса
self.net = nn.Sequential( # Последовательность слоев
nn.Linear(4*NUM_REGIONS + NUM_REGIONS, HIDDEN_SIZE*2), # Входной слой: 4 состояния * NUM_REGIONS + NUM_REGIONS действий -> HIDDEN_SIZE*2 нейронов
nn.ReLU(), # Активационная функция ReLU
nn.Linear(HIDDEN_SIZE*2, HIDDEN_SIZE), # Скрытый слой: HIDDEN_SIZE*2 -> HIDDEN_SIZE
nn.ReLU(), # Активационная функция ReLU
nn.Linear(HIDDEN_SIZE, 1) # Выходной слой: HIDDEN_SIZE -> 1 выход
)
def forward(self, states, actions): # Метод прямого распространения
# Конкатенация состояний и действий всех агентов
x = torch.cat([states.flatten(1), actions.flatten(1)], dim=1) # Объединяем состояния и действия в один вектор
return self.net(x) # Пропускаем объединенный вектор через сеть# ================== Реализация MADDPG ==================
class MADDPG:
"""Исправленный координатор обучения""" # Описание класса
def _get_actions(self, states): # Метод получения действий
"""Генерация действий с адаптивным шумом""" # Описание метода
actions = [] # Список для хранения действий
for i, agent in enumerate(self.agents): # Перебираем агентов
state = torch.FloatTensor(states[i]) # Преобразуем состояние в тензор
action = agent.actor(state).detach().numpy() # Получаем действие от актора
# Адаптивный шум с защитой от отрицательных значений
noise_scale = 0.1 * max(0, 1 - agent.steps_done/TOTAL_STEPS) # Масштаб шума уменьшается со временем
action += np.random.normal(0, noise_scale) # Добавляем гауссовский шум к действию
actions.append(np.clip(action, -1, 1)) # Ограничиваем действие в пределах [-1, 1]
return actions # Возвращаем список действий
def __init__(self): # Конструктор класса
self.agents = [Agent(i) for i in range(NUM_REGIONS)] # Создаем список агентов
self.memory = deque(maxlen=100000) # Очередь для хранения опыта
self.env = MigrationEnvironment() # Создаем среду
self.avg_rewards = [] # Список для хранения средних наград
self.steps_done = 0 # Счетчик выполненных шагов
def train(self):
"""Обновленный метод обучения с ограничением шагов"""
total_steps = EPISODES * STEPS # Общее количество шагов
for episode in range(EPISODES): # Цикл по эпизодам
states = self.env.reset() # Сбрасываем среду перед каждым эпизодом
episode_rewards = np.zeros(NUM_REGIONS) # Массив для накопления наград за эпизод
for _ in range(STEPS): # Цикл по шагам внутри эпизода
actions = self._get_actions(states) # Генерируем действия для текущего состояния
next_states, rewards, _, _ = self.env.step(actions) # Делаем шаг в среде
self.memory.append((states, actions, rewards, next_states)) # Добавляем опыт в память
if len(self.memory) > BATCH_SIZE: # Если накоплено достаточно данных
self._update_agents() # Обновляем агентов
# Корректное обновление счетчиков
for agent in self.agents: # Для каждого агента
agent.steps_done = min(agent.steps_done + 1, total_steps) # Увеличиваем счетчик шагов
states = next_states # Переходим к следующему состоянию
episode_rewards += rewards # Накапливаем награды за эпизод
avg_reward = np.mean(episode_rewards) # Среднее вознаграждение за эпизод
self.avg_rewards.append(avg_reward) # Запоминаем среднее вознаграждение
print(f"Episode {episode+1}, Reward: {avg_reward:.2f} Steps: {self.agents[0].steps_done}") # Выводим статистику
self._plot_results() # Строим графики результатов
def _get_actions(self, states):
actions = [] # Список для хранения действий
for i, agent in enumerate(self.agents): # Перебираем агентов
state = torch.FloatTensor(states[i]) # Преобразуем состояние в тензор
action = agent.actor(state).detach().numpy() # Получаем действие от актора
# Корректный расчет уровня шума
total_steps = EPISODES * STEPS # Общее количество шагов
progress = agent.steps_done / total_steps # Прогресс обучения
noise_scale = 0.1 * max(0, 1 - progress) # Масштабируем шум обратно пропорционально прогрессу
action += np.random.normal(0, noise_scale) # Добавляем гауссовский шум к действию
actions.append(np.clip(action, -1, 1)) # Ограничиваем действие в пределах [-1, 1]
return actions # Возвращаем список действий
def _update_agents(self):
"""Исправленный метод обновления с правильными именами переменных"""
if len(self.memory) < BATCH_SIZE: # Проверка достаточности данных для обучения
return
batch = random.sample(self.memory, BATCH_SIZE) # Выборка батча из памяти
# Оптимизированное преобразование в тензоры
states = torch.FloatTensor(np.array([item[0] for item in batch])) # Текущие состояния
actions = torch.FloatTensor(np.array([item[1] for item in batch])) # Действия агентов
rewards = torch.FloatTensor(np.array([item[2] for item in batch])) # Награды
next_states = torch.FloatTensor(np.array([item[3] for item in batch])) # Следующие состояния
for idx, agent in enumerate(self.agents): # Перебираем агентов
# Обновление критика
agent.critic_optim.zero_grad() # Сброс градиента
with torch.no_grad(): # Отключаем автоматическое дифференцирование
target_actions = torch.cat([ # Собираем целевые действия всех агентов
a.actor_target(next_states[:,i,:]) # Используем таргет-акторов
for i, a in enumerate(self.agents)], dim=1)
target_q = rewards[:,idx] + GAMMA * agent.critic_target( # Оценка Q-значений
next_states.view(BATCH_SIZE, -1), # Представление следующего состояния
target_actions).squeeze() # Применение критика-таргета
current_q = agent.critic( # Текущая оценка Q-значений
states.view(BATCH_SIZE, -1), # Представление текущего состояния
actions.view(BATCH_SIZE, -1)).squeeze() # Применение критика
critic_loss = nn.MSELoss()(current_q, target_q) # Потеря критика
critic_loss.backward() # Обратное распространение ошибки
agent.critic_optim.step() # Обновление веса критика
# Обновление актора
agent.actor_optim.zero_grad() # Сброс градиента
new_actions = [] # Список новых действий
for i, a in enumerate(self.agents): # Перебираем агентов
if i == idx: # Если агент совпадает с текущим
new_actions.append(a.actor(states[:,i,:])) # Используем действующий актор
else:
new_actions.append(a.actor(states[:,i,:]).detach()) # Используем отделенные действия
actor_loss = -agent.critic( # Потеря актора
states.view(BATCH_SIZE, -1), # Представление текущего состояния
torch.cat(new_actions, dim=1)).mean() # Использование новой оценки Q-значений
actor_loss.backward() # Обратное распространение ошибки
agent.actor_optim.step() # Обновление веса актора
# Мягкое обновление
self._soft_update(agent.actor, agent.actor_target) # Обновление актора
self._soft_update(agent.critic, agent.critic_target) # Обновление критика
def _soft_update(self, local_model, target_model):
"""Мягкое обновление параметров сетей (TAU)"""
for target_param, local_param in zip(target_model.parameters(), # Итерируем по параметрам обеих моделей
local_model.parameters()):
target_param.data.copy_( # Копируем данные с применением коэффициента TAU
TAU * local_param.data + (1 - TAU) * target_param.data) # Интерполяция между локальными и целевыми параметрами
def _plot_results(self):
"""Визуализация результатов обучения"""
plt.figure(figsize=(15, 5)) # Создание фигуры с заданным размером
# График обучения
plt.subplot(1, 2, 1) # Разделение графика на две части
plt.plot(self.avg_rewards) # Построение графика средней награды
plt.title('Динамика обучения') # Заголовок графика
plt.xlabel('Эпизод') # Подпись оси X
plt.ylabel('Средняя награда') # Подпись оси Y
plt.grid(True) # Отображение сетки
# Сравнение начального и конечного состояний
states = self.env.reset() # Сброс среды и получение начальных состояний
initial = states.copy() # Копия начальных состояний
# Симуляция финальной политики
for _ in range(STEPS): # Повторение для количества шагов
actions = self._get_actions(states) # Генерация действий
states, _, _, _ = self.env.step(actions) # Шаг в среде
# Визуализация состояний
plt.subplot(1, 2, 2) # Вторая часть графика
width = 0.35 # Ширина столбцов диаграммы
plt.bar(np.arange(NUM_REGIONS) - width/2, initial[:,0], # Столбцы для начального населения
width, label='Население города на старте') # Метки и подписи
plt.bar(np.arange(NUM_REGIONS) + width/2, states[:,0], # Столбцы для конечного населения
width, label='Население региона на момент окончания эксперимента') # Метки и подписи
plt.xticks(np.arange(NUM_REGIONS), # Настройка меток оси X
[f'Регион {i}' for i in range(NUM_REGIONS)]) # Подписи регионов
plt.title('Сравнение численности населения') # Заголовок графика
plt.legend() # Легенда графика
plt.tight_layout() # Уплотнение компоновки графика
plt.show() # Показ графикаclass Agent:
"""Исправленный класс агента со счетчиком шагов""" # Описание класса
def __init__(self, idx): # Конструктор класса
self.actor = Actor() # Инициализация сети актора
self.actor_target = Actor() # Инициализация целевой сети актора
self.critic = Critic() # Инициализация сети критика
self.critic_target = Critic() # Инициализация целевой сети критика
self.actor_optim = optim.Adam(self.actor.parameters(), lr=LR_ACTOR) # Оптимизатор для актора
self.critic_optim = optim.Adam(self.critic.parameters(), lr=LR_CRITIC) # Оптимизатор для критика
self.actor_target.load_state_dict(self.actor.state_dict()) # Загрузка параметров актора в целевую сеть
self.critic_target.load_state_dict(self.critic.state_dict()) # Загрузка параметров критика в целевую сеть
self.steps_done = 0 # Счетчик выполненных шагов
self.max_steps = EPISODES * STEPS # Максимально допустимое количество шагов
def increment_steps(self): # Метод увеличения счетчика шагов
self.steps_done = min(self.steps_done + 1, self.max_steps) # Увеличение счетчика с проверкой лимитаПосле тестового запуска мы получили промежуточный результат: удалось достигнуть баланса населения (и даже обеспечить незначительный прирост), экономики, расходования ресурсов и согласованности действий. Общая награда стала положительной, комплекс агентов обучился после 20 эпохи.
График средней награды, численность населения на старте и в окончании эксперимента
Итак, первый эксперимент реализован - полный код с комментариями и результатами доступен в репозитории.
У предложенного решения есть технические недостатки: отсутствие полной реализации класса Agent в коде, незавершенный метод _soft_update, отсутствие функции визуализации всех результатов.
Также есть и принципиальные или идеологические ограничения: упрощенная модель региона (всего 4 параметра), искусственная кольцевая топология связей между регионами (реальность имеет сетецентрическую природу), фиксированные коэффициенты в формулах расчета миграции и экономики, отсутствие по-настоящему стохастических событий в среде.
Возможные направления развития:
Добавление дополнительных параметров регионов (возрастная структура населения, инфраструктура, вплоть до религии с идеологией).
Реализация более сложной и реалистичной топологии связей между регионами.
Внедрение в модель среды дополнительных случайных событий (природные катастрофы, экономические кризисы, политические события).
Большая дифференциация начальных условий для различных регионов или работа на реальных данных.
Применение более сложных архитектур нейронных сетей для актора, критика, агента.
Использование методов приоритетной выборки опыта
PERна разнице между предсказанной и фактической ошибкой/наградой.Добавление механизмов внимания для учета влияния соседних регионов (реализуется через сеть-трансформер). В перспективе к ИИ-агенту можно подставить дополнение - предобученную LLM, затюненную под анализ задач демографии и миграции.
Реализация мультизадачного обучения для балансировки различных целей (построить бюрократическую иерархию агентов на 2-3-4 уровня).
Трансляция (трансфера) опыта обученных агентов.
На программном уровне можно попробовать применить следующие подходы:
Векторизация операций. Замена циклов на матричные вычисления с использованием
NumPy:preds = x_pred @ W.TИспользование GPU. Переход на
PyTorch/CuPyс автоматической оптимизацией.Динамический learning rate для ускорения сходимости (адаптивное изменение шага обучения)
learning_rate = initial_lr (1 / (1 + decay_rate epoch))Ранняя остановка. Внедрение
early_stop_counter
Stage 2. Эксперимент с трансфером опыта для 89 агентов
Предыдущий эксперимент показал, что система из 7 агентов набирается опыта и в состоянии добиваться поставленных управленческих целей где-то после 20 эпохи обучения. Теперь мы проведем эксперимент с трансляцией опыта ранее обученных ИИ-агентов на группу из 28, а потом уже и и 89 агентов-региональных управляющих.
Цели эксперимента: проверка масштабируемости алгоритма, оценка влияния новых (добавленных) агентов на общую «политическую» стабильность.
Мы реализуем динамическое добавление агентов без переписывания основной логики, и саму возможность переносить знания от старых агентов к новым.
Сразу отметим очевидные недостатки подхода: проблема масштабируемости и вычислительной сложности (финальная стадия обучения из 89 игроков будет достаточно долгой) и отметим неэффективность обучения с фиксированными гиперпараметрами и настройками (вот где нам нужен самообучающийся, то есть адаптирующий свою архитектуру и код алгоритм).
Основные изменения в коде заключаются в следующем: добавление метода _add_new_agents для динамического расширения числа агентов; копирование весов базовых агентов при инициализации новых; отключение обучения для базовых агентов.
Полный код класса MADDPG доступен под спойлером, а вся версия второго эксперимента - через репозиторий.
class MADDPG: # Класс для реализации алгоритма Multi-Agent Deep Deterministic Policy Gradient (MADDPG)
def __init__(self, num_regions=NUM_REGIONS, prev_agents=None): # Инициализация класса MADDPG
self.num_regions = num_regions # Сохраняем количество регионов
self.env = MigrationEnvironment(num_regions) # Создаем среду для моделирования миграции
if prev_agents: # Проверка наличия предыдущих агентов
self.agents = prev_agents # Присваивание списка предыдущих агентов
for agent in self.agents: # Для каждого предыдущего агента устанавливаем флаг базовой стратегии
agent.is_base = True
self._add_new_agents(num_regions - len(prev_agents)) # Добавляем недостающее количество новых агентов
else: # Если предыдущие агенты отсутствуют
self.agents = [Agent(i) for i in range(num_regions)] # Создаем список агентов для каждого региона
self.memory = deque(maxlen=100000) # Инициализация очереди для хранения опыта
self.avg_rewards = [] # Список для сохранения средних наград за эпизоды
def _add_new_agents(self, num_new): # Метод добавления новых агентов
for i in range(num_new): # Цикл по количеству добавляемых агентов
new_agent = Agent(len(self.agents), self.num_regions) # Создание нового агента
base_agent = self.agents[i % len(self.agents)] # Выбор базового агента для копирования весов
new_agent.actor.load_state_dict(base_agent.actor.state_dict()) # Копируем веса Actor-сети
#new_agent.critic.load_state_dict(base_agent.critic.state_dict()) # Копируем веса Critic-сети/не нужно
self.agents.append(new_agent) # Добавляем нового агента в список агентов
def train(self, episodes=EPISODES): # Метод тренировки агентов
for episode in range(episodes): # Цикл по количеству эпизодов
states = self.env.reset() # Сброс среды перед началом нового эпизода
episode_rewards = np.zeros(self.num_regions) # Инициализация массива наград за эпизод
for _ in range(STEPS): # Цикл по количеству шагов в эпизоде
actions = self._get_actions(states) # Получение действий от всех агентов
next_states, rewards, _, _ = self.env.step(actions) # Выполнение шага в среде
self.memory.append((states, actions, rewards, next_states)) # Добавление опыта в память
if len(self.memory) > BATCH_SIZE: # Проверка достаточного количества данных для обучения
self._update_agents() # Обучение агентов
for agent in self.agents: # Увеличиваем счетчик шагов для каждого агента
if not agent.is_base: # Только для небазовых агентов
agent.steps_done += 1
episode_rewards += rewards # Накопление суммарных наград за эпизод
states = next_states # Обновление текущих состояний
avg_reward = np.mean(episode_rewards) # Вычисление средней награды за эпизод
self.avg_rewards.append(avg_reward) # Добавление средней награды в список
print(f"Episode {episode+1}, Avg Reward: {avg_reward:.2f}") # Вывод информации об эпизоде
def _get_actions(self, states): # Метод получения действий от всех агентов
actions = [] # Инициализация списка действий
for i, agent in enumerate(self.agents): # Цикл по агентам
if agent.is_base: # Если агент является базовым
action = agent.act(states[i], exploration=False) # Получаем действие без исследования
else: # Если агент не базовый
action = agent.act(states[i]) # Получаем действие с исследованием
actions.append(action) # Добавляем действие в список
return actions # Возвращаем список действий
def _update_agents(self): # Метод обновления агентов
batch = random.sample(self.memory, BATCH_SIZE) # Выборка пакета данных из памяти
states = torch.FloatTensor(np.array([item[0] for item in batch])) # Преобразование состояний в тензоры
actions = torch.FloatTensor(np.array([item[1] for item in batch])) # Преобразование действий в тензоры
rewards = torch.FloatTensor(np.array([item[2] for item in batch])) # Преобразование наград в тензоры
next_states = torch.FloatTensor(np.array([item[3] for item in batch])) # Преобразование следующих состояний в тензоры
for idx, agent in enumerate(self.agents): # Цикл по всем агентам
if agent.is_base: continue # Пропускаем базовые агенты
agent.critic_optim.zero_grad() # Обнуляем градиенты оптимизатора критика
with torch.no_grad(): # Отключение градиентов для предсказания целей
target_actions = [] # Список целевых действий
for i, a in enumerate(self.agents): # Цикл по всем агентам
if a.is_base: # Если агент базовый
target_actions.append(a.actor_target(next_states[:,i,:])) # Используем таргетную сеть
else: # Если агент не базовый
target_actions.append(a.actor_target(next_states[:,i,:]).detach()) # Отсоединяем градиенты
target_q = rewards[:,idx] + GAMMA * agent.critic_target( # Вычисление целевого Q-значения
next_states.view(BATCH_SIZE, -1), # Переформатирование следующего состояния
torch.cat(target_actions, dim=1) # Конкатенация целевых действий
).squeeze() # Сжатие размерности
current_q = agent.critic( # Вычисление текущего Q-значения
states.view(BATCH_SIZE, -1), # Переформатирование текущего состояния
actions.view(BATCH_SIZE, -1) # Переформатирование действий
).squeeze() # Сжатие размерности
critic_loss = nn.MSELoss()(current_q, target_q) # Вычисление потери критика
critic_loss.backward() # Обратное распространение ошибки
agent.critic_optim.step() # Шаг оптимизатора критика
agent.actor_optim.zero_grad() # Обнуление градиентов оптимизатора актера
new_actions = [] # Новый список действий
for i, a in enumerate(self.agents): # Цикл по всем агентам
if i == idx: # Если это обновляемый агент
new_actions.append(a.actor(states[:,i,:])) # Используем новую политику
else: # Если другой агент
new_actions.append(a.actor(states[:,i,:]).detach()) # Отсоединяем градиенты
actor_loss = -agent.critic( # Вычисление потери актера
states.view(BATCH_SIZE, -1), # Переформатирование текущего состояния
torch.cat(new_actions, dim=1) # Конкатенация новых действий
).mean() # Среднее значение
actor_loss.backward() # Обратное распространение ошибки
agent.actor_optim.step() # Шаг оптимизатора актера
self._soft_update(agent.actor, agent.actor_target) # Мягкое обновление таргетной сети актера
self._soft_update(agent.critic, agent.critic_target) # Мягкое обновление таргетной сети критика
def _soft_update(self, local, target): # Метод мягкого обновления таргетных моделей
for t_param, l_param in zip(target.parameters(), local.parameters()): # Проходимся по параметрам обеих моделей
t_param.data.copy_(TAU*l_param.data + (1-TAU)*t_param.data) # Обновляем параметры таргетной модели с учетом коэффициента TAU
def save_policies(self, path): # Метод сохранения политик агентов
if not os.path.exists(path):
os.makedirs(path)
for i, agent in enumerate(self.agents): # Проходимся по всем агентам
torch.save({ # Сохраняем состояние агента в файл
'actor': agent.actor.state_dict(), # Сохраняем параметры Actor-сети
'critic': agent.critic.state_dict(), # Сохраняем параметры Critic-сети
'steps': agent.steps_done # Сохраняем количество сделанных шагов
}, f"{path}/agent_{i}.pth") # Указываем путь для сохранения файла
def plot_results(self): # Метод отображения графика средних наград
plt.plot(self.avg_rewards) # Строим график изменения средней награды
plt.title('Средняя награда за эпизод') # Задаем заголовок графика
plt.xlabel('Эпизод') # Подписываем ось X
plt.ylabel('Награда') # Подписываем ось Y
plt.grid(True) # Включаем сетку на графике
plt.show() # Показываем график
График средней награды при обучении 7 агентов
Первый этап обучения для 7 агентов мы прошли достаточно быстро - на 10 эпохе средняя награда за эпизод стала высокой и стабильной.
Логично предположить, что с увеличением до 28 агентов (добавлением 21 новых) мы получим так же положительную среднюю награду, но большую вариативность значений в ходе обучения.
График средней награды при обучении 28 агентов (7 + 21)
Учить мы будем 28 агентов в течение 20 эпох. На графике трендовая линия показывает прирост средней награды, однако некоторый «расколбас» значений говорит нам о том, что при попытках сохранить общую архитектуру с увеличением числа агентов мы можем получить перегрузку вычислительных ресурсов, ухудшение сходимости из-за роста размерности входных данных, которое предстоит лечить адаптацией гиперпараметров (размер батча, learning rate)
График средней награды при обучении 89 агентов (28 + 61)
На третьем этапе мы обучили 89 агентов для каждого региона, разбирающегося в вопросах демографии и миграции и учитывающего опыт соседних территорий.
Механизм масштабирования:
1. реализован метод добавления новых агентов к ужу обученным;
2. новые агенты инициализируются с весами существующих (трансфер обучения);
3. поддерживается постепенное увеличение количества регионов (7 → 28 → 89)
Возможности: 1. добавление новых агентов без переобучения всей системы; 2. сохранение базовых агентов в качестве цифровых «экспертов».
Формально, мы получили 89 ИИ-агентов, каждый из которых «знает», свой регион и специфику других, обменивается информацией с коллегами и довольно быстро балансирует происходящие изменения, максимизируя индивидуальную и общую награду. Однако это всего лишь сеть помощников, способных решать типовые задачи. В случае кардинальных изменений в среде, появления новых видов действий и возможностей они скорее всего не справятся. Для лучшей адаптации нужна возможность изменений архитектуры моделей, а не только весов и смещений, на основе получаемой информации ИИ-агенты должны изменяться и самосовершенствоваться. Иначе мы не то что «универсальный» искусственный интеллект не получим, но даже не приблизимся к так называемому «переходному» или «промежуточному» типу ИИ.
Короче, нам нужна Дарвин-Гёдель машина или DGM!
Немного скучной теорииДарвин-Гедель-машина, DGM - это теоретическая система машинного обучения, способная самообучаться и самосовершенствоваться, используя механизмы естественного отбора и доказательства своей собственной неполноценности и ограниченности («я - дурак, но я исправлюсь!»). Способность существа к развитию начинается именно с признания собственных ограничений и недостатков. Поэтому и «кожаные мешки», обладающие склонностью к самоиронии, здоровому черному юмору, которые не прочь посмеяться над собой, своими недостатками, как правило устойчивы психически, адаптивны и с интересом принимают новые идеи и технологии. В отличие от тех, кто свои недостатки не признает.
Эволюционный аспект (теория Дарвина): система постоянно развивается путем мутаций и селекции (скрещивания) моделей. Например, каждая новая версия модели создается на основе предыдущей версии с небольшими изменениями («мутации»), и лучшие версии сохраняются и используются дальше. Впрочем, сохраняются и получают право на жизнь и не только «самые лучшие» - система формирует запасной пул моделей, не показавших идеального результата, но обладающих полезными признаками или элементами архитектуры. Жизненная практика с успехом «твердых троечников» на фоне их коллег-ботанов неоспорима.
Самопознающий аспект (теорема Гёделя о неполноте): теорема Гёделя утверждает, что любая достаточно сложная формальная система имеет ограничения и непротиворечивость невозможна. Это означает, что никакая машина не сможет доказать свою собственную полноту и точность. Поэтому, такая система должна осознавать собственные пределы и активно искать способы улучшения себя, понимая, что всегда существует пространство для развития.
Препринт научной работы по DGM доступен здесь. Публикация на Хабре - здесь. Описание разработки от японской кампании sakana.ai. Описание идеи метаобучения ИИ - здесь .
Отметим сразу, что будем реализовывать не полный вариант DGM. Во-первых, это крайне ресурсозатратно (гранта на данную разработку пока нет). Во-вторых, довольно опасно. В отличие от обычной ML-модели, с хорошей интерпретируемостью результатов, RL разбирать по косточкам труднее, а в случае с изменением архитектур, есть риск вообще перестать понимать, что у находится под капотом у «черного ящика».
Кто знает, что у этой модели под капотом на уме?
Поэтому в будущем, стоит делать упор на регуляторные ограничения и обязательное использование закрытых, без доступа к Интернет «песочниц».
Уже реализованные эксперименты показали что модель может манипулировать с функцией награды, а для наблюдателей эксперимента - банально врать! Не «галлюционировать», а именно врать, проявляя признаки наличия умысла на извлечение пока еще эфемерной выгоды, например, создавая фальшивые отчеты об успешном выполнении тестов, которые де факто не проводились. Подменять цели, выдавать желаемое за действительное, пилить госконтракты, подделывать свидетельства о рождении и смерти для получения пособий - в общем делать все то, что обычно ассоциируется со словом коррупция.
Мафия бессмертна!
Термин «коррупция» происходит от латинского corruptio — «подкуп, продажность; порча, разложение; растление»
Исследование sakana.ai помимо всего прочего показало, что существует теоретическая возможность получения «идеального преступника», который подделывает результаты эксперимента и сам же об этом забывает!
В нашем случае мы ограничимся только изменениями архитектуры «актора». Основной набор состояний и действий остался прежним - все процедуры и результаты можно воспроизвести при стандартных настройках локального ноутбука или «колаба» как на CPU (долго) или GPU Т4 (побыстрее).
Stage 3. Эксперимент DGM
«Дарвингеделить» мы будем на каждой стадии обучения, выделим до 42 эпизодов на стадию (все настройки можно менять) с мутациями, кроссовером и максимальным размером выборки (бассейном) в 100 кибердуш, эволюционным переходом каждые 5 эпох.
Гиперпараметры MADDPG + DGM# ===== ГИПЕРПАРАМЕТРЫ СИСТЕМЫ =====
# Основные параметры (НЕ ИЗМЕНЯЮТСЯ)
NUM_REGIONS_STAGE1 = 7
NUM_REGIONS_STAGE2 = 28
NUM_REGIONS_STAGE3 = 89
EPISODES_PER_STAGE = 42
STEPS = 200
BATCH_SIZE = 64 # Оптимизировано для T4
GAMMA = 0.95
TAU = 0.01
LR_ACTOR = 0.001
LR_CRITIC = 0.002
HIDDEN_SIZE = 64
# Параметры Darwin Gödel Machine (НЕ ИЗМЕНЯЮТСЯ)
MUTATION_RATE = 0.1
CROSSOVER_RATE = 0.3
SELECTION_PRESSURE = 0.7
ARCHITECTURE_POOL_SIZE = 100
EVOLUTION_FREQUENCY = 5
# Настройки оптимизации для T4 GPU
NUM_WORKERS = 2 # Оптимально для T4 в Colab
PIN_MEMORY = True if torch.cuda.is_available() else False
PERSISTENT_WORKERS = True
# Обеспечение воспроизводимости
SEED = 42
random.seed(SEED)
torch.manual_seed(SEED)
np.random.seed(SEED)
if torch.cuda.is_available():
torch.cuda.manual_seed_all(SEED) В этот раз наша вспомогательная цель состоит в том, чтобы тщательно протоколировтаь время выполнения всех действий, промежуточные и итоговые результаты и давать качественную визуализацию. Поэтому при воспроизведении кода на ваших настройках могут быть затруднения.
# ===== КЛАСС МОНИТОРИНГА ВРЕМЕНИ ВЫПОЛНЕНИЯ =====
class TimeTracker:
"""
Продвинутый трекер времени выполнения для каждой стадии
"""
def __init__(self, colab_time_limit_hours: float = 12.0):
self.colab_time_limit = colab_time_limit_hours * 3600 # Переводим в секунды
self.session_start_time = time.time()
self.stage_start_time = None
self.stage_history = []
self.current_stage = None
def start_stage(self, stage_name: str, episodes_count: int):
"""Начало отслеживания стадии"""
self.stage_start_time = time.time()
self.current_stage = {
'name': stage_name,
'start_time': self.stage_start_time,
'episodes_total': episodes_count,
'episodes_completed': 0,
'estimated_duration': None,
'remaining_time': None
}
print(f"\n🎯 Начало стадии: {stage_name}")
print(f"📅 Время начала: {datetime.now().strftime('%H:%M:%S')}")
def update_progress(self, episodes_completed: int):
"""Обновление прогресса стадии"""
if self.current_stage is None:
return
self.current_stage['episodes_completed'] = episodes_completed
# Расчет оставшегося времени
elapsed_time = time.time() - self.stage_start_time
if episodes_completed > 0:
time_per_episode = elapsed_time / episodes_completed
remaining_episodes = self.current_stage['episodes_total'] - episodes_completed
estimated_remaining = time_per_episode * remaining_episodes
self.current_stage['estimated_duration'] = elapsed_time + estimated_remaining
self.current_stage['remaining_time'] = estimated_remaining
def get_time_info(self) -> Dict:
"""Получение информации о времени"""
current_time = time.time()
session_elapsed = current_time - self.session_start_time
session_remaining = max(0, self.colab_time_limit - session_elapsed)
info = {
'session_elapsed': session_elapsed,
'session_remaining': session_remaining,
'session_progress': (session_elapsed / self.colab_time_limit) * 100,
'colab_timeout_risk': session_remaining < 1800 # Риск если меньше 30 минут
}
if self.current_stage:
stage_elapsed = current_time - self.stage_start_time
info.update({
'stage_name': self.current_stage['name'],
'stage_elapsed': stage_elapsed,
'stage_remaining': self.current_stage.get('remaining_time', 0),
'episodes_completed': self.current_stage['episodes_completed'],
'episodes_total': self.current_stage['episodes_total'],
'stage_progress': (self.current_stage['episodes_completed'] /
self.current_stage['episodes_total']) * 100
})
return info
def finish_stage(self):
"""Завершение текущей стадии"""
if self.current_stage:
finish_time = time.time()
duration = finish_time - self.stage_start_time
self.current_stage['finish_time'] = finish_time
self.current_stage['total_duration'] = duration
self.stage_history.append(copy.deepcopy(self.current_stage))
print(f"✅ Стадия '{self.current_stage['name']}' завершена")
print(f"⏱️ Длительность: {self._format_time(duration)}")
self.current_stage = None
def display_status(self):
"""Отображение текущего статуса времени"""
info = self.get_time_info()
print("\n" + "="*70)
print("⏰ СТАТУС ВРЕМЕНИ ВЫПОЛНЕНИЯ")
print("="*70)
# Информация о сессии Colab
print(f"🖥️ Сессия Colab:")
print(f" Прошло времени: {self._format_time(info['session_elapsed'])}")
print(f" Осталось времени: {self._format_time(info['session_remaining'])}")
print(f" Прогресс сессии: {info['session_progress']:.1f}%")
if info['colab_timeout_risk']:
print(" ⚠️ ВНИМАНИЕ: Приближается лимит времени Colab!")
# Информация о текущей стадии
if 'stage_name' in info:
print(f"\n🎯 Текущая стадия: {info['stage_name']}")
print(f" Прошло времени: {self._format_time(info['stage_elapsed'])}")
print(f" Осталось времени: {self._format_time(info['stage_remaining'])}")
print(f" Эпизоды: {info['episodes_completed']}/{info['episodes_total']}")
print(f" Прогресс стадии: {info['stage_progress']:.1f}%")
print("="*70)
def _format_time(self, seconds: float) -> str:
"""Форматирование времени в читаемый вид"""
if seconds < 60:
return f"{seconds:.1f}с"
elif seconds < 3600:
return f"{seconds/60:.1f}м"
else:
return f"{seconds/3600:.1f}ч {(seconds%3600)/60:.0f}м"# ===== РАСШИРЕННАЯ СИСТЕМА ВИЗУАЛИЗАЦИИ =====
class EnhancedVisualization:
"""
Улучшенная система визуализации с графиками и символами
"""
def __init__(self):
# Настройка стилей для красивых графиков
plt.style.use('seaborn-v0_8-darkgrid')
sns.set_palette("husl")
# Эмодзи и символы для визуализации
self.stage_symbols = {
'stage1': '🥇',
'stage2': '🥈',
'stage3': '🥉'
}
self.metric_symbols = {
'reward': '🎯',
'fitness': '💪',
'population': '👥',
'economy': '💰',
'resources': '🌿',
'stability': '⚖️',
'adaptation': '🔄',
'entropy': '🌀',
'efficiency': '⚡',
'coordination': '🤝'
}
def create_comprehensive_dashboard(self, performance_monitor, stage_name: str):
"""Создание комплексной панели мониторинга"""
print(f"\n📊 Создание панели мониторинга для {stage_name}...")
# Создание фигуры с множественными подграфиками
fig = plt.figure(figsize=(20, 16))
gs = fig.add_gridspec(4, 4, hspace=0.3, wspace=0.3)
# Заголовок с эмодзи
stage_emoji = self.stage_symbols.get(stage_name.lower().replace(' ', ''), '🚀')
fig.suptitle(f'{stage_emoji} Панель мониторинга: {stage_name}',
fontsize=20, fontweight='bold', y=0.95)
metrics = performance_monitor.metrics
# 1. Награды и системная производительность
ax1 = fig.add_subplot(gs[0, :2])
if metrics['episode_rewards']:
episodes = range(len(metrics['episode_rewards']))
ax1.plot(episodes, metrics['episode_rewards'], 'o-', linewidth=2,
markersize=4, alpha=0.8, label=f"{self.metric_symbols['reward']} Награда за эпизод")
ax1.plot(episodes, np.cumsum(metrics['episode_rewards'])/np.arange(1, len(episodes)+1),
'--', linewidth=2, alpha=0.7, label='📈 Средняя накопленная')
ax1.set_title(f"{self.metric_symbols['reward']} Динамика наград", fontweight='bold')
ax1.set_xlabel('Эпизод')
ax1.set_ylabel('Награда')
ax1.legend()
ax1.grid(True, alpha=0.3)
# 2. Системная награда
ax2 = fig.add_subplot(gs[0, 2:])
if metrics['system_reward']:
ax2.plot(metrics['system_reward'], 'o-', color='green', linewidth=2,
markersize=4, alpha=0.8)
ax2.set_title(f"🎯 Системная награда", fontweight='bold')
ax2.set_xlabel('Эпизод')
ax2.set_ylabel('Общая награда')
ax2.grid(True, alpha=0.3)
# 3. Демографические метрики
ax3 = fig.add_subplot(gs[1, :2])
demo_metrics = ['population_balance', 'demographic_stability']
colors = ['blue', 'orange']
for i, metric in enumerate(demo_metrics):
if metrics[metric]:
symbol = self.metric_symbols.get(metric.split('_')[0], '📊')
ax3.plot(metrics[metric], 'o-', color=colors[i], linewidth=2,
markersize=3, alpha=0.8, label=f"{symbol} {metric.replace('_', ' ').title()}")
ax3.set_title(f"{self.metric_symbols['population']} Демографические показатели", fontweight='bold')
ax3.set_xlabel('Эпизод')
ax3.set_ylabel('Значение')
ax3.legend()
ax3.grid(True, alpha=0.3)
# 4. Экономические показатели
ax4 = fig.add_subplot(gs[1, 2:])
econ_metrics = ['resource_utilization', 'economic_development']
colors = ['green', 'purple']
for i, metric in enumerate(econ_metrics):
if metrics[metric]:
symbol = self.metric_symbols.get(metric.split('_')[0], '📊')
ax4.plot(metrics[metric], 'o-', color=colors[i], linewidth=2,
markersize=3, alpha=0.8, label=f"{symbol} {metric.replace('_', ' ').title()}")
ax4.set_title(f"{self.metric_symbols['economy']} Экономические показатели", fontweight='bold')
ax4.set_xlabel('Эпизод')
ax4.set_ylabel('Значение')
ax4.legend()
ax4.grid(True, alpha=0.3)
# 5. Эволюционные метрики
ax5 = fig.add_subplot(gs[2, :2])
evol_metrics = ['architecture_entropy', 'adaptation_speed']
colors = ['red', 'cyan']
for i, metric in enumerate(evol_metrics):
if metrics[metric]:
symbol = self.metric_symbols.get(metric.split('_')[0], '📊')
ax5.plot(metrics[metric], 'o-', color=colors[i], linewidth=2,
markersize=3, alpha=0.8, label=f"{symbol} {metric.replace('_', ' ').title()}")
ax5.set_title(f"{self.metric_symbols['entropy']} Эволюционные метрики", fontweight='bold')
ax5.set_xlabel('Эпизод')
ax5.set_ylabel('Значение')
ax5.legend()
ax5.grid(True, alpha=0.3)
# 6. Эффективность и производительность
ax6 = fig.add_subplot(gs[2, 2:])
perf_metrics = ['energy_efficiency', 'computational_complexity']
if metrics['energy_efficiency'] and metrics['computational_complexity']:
# Нормализация для совместного отображения
eff_norm = np.array(metrics['energy_efficiency']) / max(metrics['energy_efficiency'])
comp_norm = np.array(metrics['computational_complexity']) / max(metrics['computational_complexity'])
ax6.plot(eff_norm, 'o-', color='gold', linewidth=2, markersize=3,
alpha=0.8, label=f"{self.metric_symbols['efficiency']} Энергоэффективность (норм.)")
ax6.plot(comp_norm, 'o-', color='brown', linewidth=2, markersize=3,
alpha=0.8, label='🔧 Сложность вычислений (норм.)')
ax6.set_title(f"{self.metric_symbols['efficiency']} Производительность", fontweight='bold')
ax6.set_xlabel('Эпизод')
ax6.set_ylabel('Нормализованное значение')
ax6.legend()
ax6.grid(True, alpha=0.3)
# 7. Тепловая карта корреляций метрик
ax7 = fig.add_subplot(gs[3, :2])
correlation_data = []
metric_names = []
for name, values in metrics.items():
if values and len(values) > 5: # Берем только метрики с достаточным количеством данных
correlation_data.append(values[:min(len(values), 50)]) # Ограничиваем для производительности
metric_names.append(name.replace('_', '\n'))
if len(correlation_data) > 1:
# Выравниваем длины массивов
min_len = min(len(data) for data in correlation_data)
correlation_matrix = np.corrcoef([data[:min_len] for data in correlation_data])
sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', center=0,
xticklabels=metric_names, yticklabels=metric_names, ax=ax7,
fmt='.2f', cbar_kws={'label': 'Корреляция'})
ax7.set_title("🔥 Корреляционная матрица метрик", fontweight='bold')
# 8. Координация и стабильность
ax8 = fig.add_subplot(gs[3, 2:])
coord_metric = 'policy_coordination'
if metrics[coord_metric]:
ax8.plot(metrics[coord_metric], 'o-', color='darkgreen', linewidth=2,
markersize=4, alpha=0.8)
ax8.fill_between(range(len(metrics[coord_metric])), metrics[coord_metric],
alpha=0.3, color='lightgreen')
ax8.set_title(f"{self.metric_symbols['coordination']} Координация политики", fontweight='bold')
ax8.set_xlabel('Эпизод')
ax8.set_ylabel('Уровень координации')
ax8.grid(True, alpha=0.3)
plt.tight_layout()
return fig
def create_evolution_analysis(self, evolution_logger, stage_name: str):
"""Создание анализа эволюционного процесса"""
if not evolution_logger.evolution_history:
return None
print(f"\n🧬 Создание анализа эволюции для {stage_name}...")
fig, axes = plt.subplots(2, 3, figsize=(18, 12))
fig.suptitle(f'🧬 Эволюционный анализ: {stage_name}', fontsize=16, fontweight='bold')
# Данные эволюции
generations = [step['generation'] for step in evolution_logger.evolution_history]
best_fitness = [step['best_fitness'] for step in evolution_logger.evolution_history]
avg_fitness = [step['avg_fitness'] for step in evolution_logger.evolution_history]
fitness_std = [step['fitness_std'] for step in evolution_logger.evolution_history]
# 1. Динамика fitness
axes[0, 0].plot(generations, best_fitness, 'o-', color='red', linewidth=2,
markersize=5, label='🏆 Лучший fitness')
axes[0, 0].plot(generations, avg_fitness, 'o-', color='blue', linewidth=2,
markersize=5, label='📊 Средний fitness')
axes[0, 0].fill_between(generations,
np.array(avg_fitness) - np.array(fitness_std),
np.array(avg_fitness) + np.array(fitness_std),
alpha=0.3, color='blue', label='📏 Стандартное отклонение')
axes[0, 0].set_title('💪 Эволюция Fitness', fontweight='bold')
axes[0, 0].set_xlabel('Поколение')
axes[0, 0].set_ylabel('Fitness')
axes[0, 0].legend()
axes[0, 0].grid(True, alpha=0.3)
# 2. Распределение типов мутаций
axes[0, 1].axis('off')
if evolution_logger.mutation_log:
mutation_types = [log['mutation_type'] for log in evolution_logger.mutation_log]
mutation_counts = {}
for mut_type in mutation_types:
mutation_counts[mut_type] = mutation_counts.get(mut_type, 0) + 1
if mutation_counts:
types = list(mutation_counts.keys())
counts = list(mutation_counts.values())
colors = plt.cm.Set3(np.linspace(0, 1, len(types)))
axes[0, 1].pie(counts, labels=types, autopct='%1.1f%%', colors=colors,
startangle=90, textprops={'fontsize': 10})
axes[0, 1].set_title('🔀 Распределение мутаций', fontweight='bold')
# 3. Прогресс разнообразия популяции
num_archs = [step['num_architectures'] for step in evolution_logger.evolution_history]
if num_archs:
axes[0, 2].bar(generations, num_archs, color='green', alpha=0.7)
axes[0, 2].set_title('🌈 Размер популяции', fontweight='bold')
axes[0, 2].set_xlabel('Поколение')
axes[0, 2].set_ylabel('Количество архитектур')
axes[0, 2].grid(True, alpha=0.3)
# 4. Статистика скрещиваний
axes[1, 0].axis('off')
if evolution_logger.crossover_log:
crossover_count = len(evolution_logger.crossover_log)
mutation_count = len(evolution_logger.mutation_log)
labels = ['🔀 Скрещивания', '🧬 Мутации']
sizes = [crossover_count, mutation_count]
colors = ['lightcoral', 'lightblue']
axes[1, 0].pie(sizes, labels=labels, autopct='%1.1f%%', colors=colors,
startangle=90, textprops={'fontsize': 12})
axes[1, 0].set_title('⚖️ Типы эволюционных операций', fontweight='bold')
# 5. Временная динамика эволюции
if len(generations) > 1:
fitness_improvement = np.diff(best_fitness)
axes[1, 1].plot(generations[1:], fitness_improvement, 'o-', color='purple',
linewidth=2, markersize=4)
axes[1, 1].axhline(y=0, color='black', linestyle='--', alpha=0.5)
axes[1, 1].set_title('📈 Улучшение fitness', fontweight='bold')
axes[1, 1].set_xlabel('Поколение')
axes[1, 1].set_ylabel('Изменение fitness')
axes[1, 1].grid(True, alpha=0.3)
# 6. Статистика эффективности эволюции
if best_fitness and avg_fitness:
efficiency = np.array(best_fitness) / (np.array(avg_fitness) + 1e-8)
axes[1, 2].plot(generations, efficiency, 'o-', color='orange',
linewidth=2, markersize=4)
axes[1, 2].set_title('⚡ Эффективность эволюции', fontweight='bold')
axes[1, 2].set_xlabel('Поколение')
axes[1, 2].set_ylabel('Лучший/Средний fitness')
axes[1, 2].grid(True, alpha=0.3)
plt.tight_layout()
return fig# ===== ОРИГИНАЛЬНЫЕ КЛАССЫ С ОПТИМИЗАЦИЯМИ =====
class EvolutionLogger:
"""Класс для логирования эволюционного процесса"""
def __init__(self):
self.evolution_history = []
self.architecture_history = []
self.performance_history = []
self.mutation_log = []
self.crossover_log = []
self.selection_log = []
def log_evolution_step(self, generation: int, architectures: List,
fitness_scores: List, best_score: float):
"""Логирование шага эволюции"""
step_data = {
'generation': generation,
'timestamp': datetime.now().isoformat(),
'num_architectures': len(architectures),
'fitness_scores': fitness_scores.copy(),
'best_fitness': best_score,
'avg_fitness': np.mean(fitness_scores),
'fitness_std': np.std(fitness_scores)
}
self.evolution_history.append(step_data)
def log_mutation(self, parent_arch: Dict, mutated_arch: Dict,
mutation_type: str):
"""Логирование мутации"""
mutation_data = {
'timestamp': datetime.now().isoformat(),
'mutation_type': mutation_type,
'parent_hash': hash(str(parent_arch)),
'mutated_hash': hash(str(mutated_arch)),
'changes': self._get_architecture_diff(parent_arch, mutated_arch)
}
self.mutation_log.append(mutation_data)
def log_crossover(self, parent1_arch: Dict, parent2_arch: Dict,
child_arch: Dict):
"""Логирование скрещивания"""
crossover_data = {
'timestamp': datetime.now().isoformat(),
'parent1_hash': hash(str(parent1_arch)),
'parent2_hash': hash(str(parent2_arch)),
'child_hash': hash(str(child_arch))
}
self.crossover_log.append(crossover_data)
def _get_architecture_diff(self, arch1: Dict, arch2: Dict) -> List:
"""Получение различий между архитектурами"""
differences = []
for key in arch1:
if arch1[key] != arch2[key]:
differences.append({
'parameter': key,
'old_value': arch1[key],
'new_value': arch2[key]
})
return differences
class PerformanceMonitor:
"""Класс для мониторинга производительности системы с оптимизациями"""
def __init__(self):
self.metrics = {
'episode_rewards': [],
'system_reward': [],
'adaptation_speed': [],
'demographic_stability': [],
'architecture_entropy': [],
'computational_complexity': [],
'energy_efficiency': [],
'population_balance': [],
'resource_utilization': [],
'economic_development': [],
'policy_coordination': []
}
self.start_time = time.time()
def update_metrics(self, episode: int, agents: List, env_states: np.ndarray,
episode_rewards: np.ndarray, architectures: List):
"""Обновление всех метрик с оптимизацией для T4 GPU"""
# Основные награды
self.metrics['episode_rewards'].append(float(np.mean(episode_rewards)))
self.metrics['system_reward'].append(float(np.sum(episode_rewards)))
# Демографическая стабильность (оптимизированные вычисления)
with torch.no_grad(): # Отключаем градиенты для экономии памяти[16]
population_var = float(np.var(env_states[:, 0]))
self.metrics['demographic_stability'].append(1.0 / (1.0 + population_var))
# Архитектурная энтропия (разнообразие)
arch_entropy = self._calculate_architecture_entropy(architectures)
self.metrics['architecture_entropy'].append(arch_entropy)
# Вычислительная сложность
complexity = self._calculate_computational_complexity(agents)
self.metrics['computational_complexity'].append(complexity)
# Энергоэффективность (награда на параметр)
efficiency = float(np.sum(episode_rewards)) / (complexity + 1e-8)
self.metrics['energy_efficiency'].append(efficiency)
# Специфичные демографические метрики
self.metrics['population_balance'].append(float(np.mean(env_states[:, 0])))
self.metrics['resource_utilization'].append(float(np.mean(env_states[:, 1])))
self.metrics['economic_development'].append(float(np.mean(env_states[:, 2])))
self.metrics['policy_coordination'].append(1.0 - float(np.std(env_states[:, 3])))
# Скорость адаптации
if len(self.metrics['episode_rewards']) > 10:
recent_improvement = (np.mean(self.metrics['episode_rewards'][-5:]) -
np.mean(self.metrics['episode_rewards'][-10:-5]))
self.metrics['adaptation_speed'].append(max(0, float(recent_improvement)))
else:
self.metrics['adaptation_speed'].append(0.0)
def _calculate_architecture_entropy(self, architectures: List) -> float:
"""Вычисление энтропии архитектурного разнообразия"""
if not architectures:
return 0.0
arch_hashes = [hash(str(arch)) for arch in architectures]
unique_archs = len(set(arch_hashes))
total_archs = len(arch_hashes)
if total_archs <= 1:
return 0.0
# Энтропия Шеннона
prob = unique_archs / total_archs
return float(-prob * np.log2(prob + 1e-8))
def _calculate_computational_complexity(self, agents: List) -> float:
"""Вычисление вычислительной сложности"""
total_params = 0
for agent in agents:
if hasattr(agent, 'actor'):
total_params += sum(p.numel() for p in agent.actor.parameters())
if hasattr(agent, 'critic'):
total_params += sum(p.numel() for p in agent.critic.parameters())
return float(total_params)
class ArchitectureGenome:
"""Класс для представления генома архитектуры нейронной сети"""
def __init__(self, hidden_sizes: List[int] = None,
activation_functions: List[str] = None,
dropout_rates: List[float] = None,
learning_rate: float = 0.001):
self.hidden_sizes = hidden_sizes or [64, 32]
self.activation_functions = activation_functions or ['relu', 'relu']
self.dropout_rates = dropout_rates or [0.0, 0.0]
self.learning_rate = learning_rate
self.fitness = 0.0
self.age = 0
def to_dict(self) -> Dict:
"""Преобразование в словарь"""
return {
'hidden_sizes': self.hidden_sizes,
'activation_functions': self.activation_functions,
'dropout_rates': self.dropout_rates,
'learning_rate': self.learning_rate,
'fitness': self.fitness,
'age': self.age
}
@classmethod
def from_dict(cls, data: Dict):
"""Создание из словаря"""
genome = cls(
hidden_sizes=data['hidden_sizes'],
activation_functions=data['activation_functions'],
dropout_rates=data['dropout_rates'],
learning_rate=data['learning_rate']
)
genome.fitness = data.get('fitness', 0.0)
genome.age = data.get('age', 0)
return genome
def mutate(self, mutation_rate: float = 0.1) -> 'ArchitectureGenome':
"""Мутация генома"""
new_genome = copy.deepcopy(self)
# Мутация размеров скрытых слоев
if random.random() < mutation_rate:
layer_idx = random.randint(0, len(new_genome.hidden_sizes) - 1)
change = random.choice([-16, -8, 8, 16])
new_genome.hidden_sizes[layer_idx] = max(8,
new_genome.hidden_sizes[layer_idx] + change)
# Мутация функций активации
if random.random() < mutation_rate:
layer_idx = random.randint(0, len(new_genome.activation_functions) - 1)
new_genome.activation_functions[layer_idx] = random.choice(
['relu', 'tanh', 'sigmoid', 'leaky_relu', 'elu'])
# Мутация dropout
if random.random() < mutation_rate:
layer_idx = random.randint(0, len(new_genome.dropout_rates) - 1)
new_genome.dropout_rates[layer_idx] = random.uniform(0.0, 0.5)
# Мутация learning rate
if random.random() < mutation_rate:
new_genome.learning_rate *= random.uniform(0.5, 2.0)
new_genome.learning_rate = max(0.0001, min(0.01, new_genome.learning_rate))
return new_genome
def crossover(self, other: 'ArchitectureGenome') -> 'ArchitectureGenome':
"""Скрещивание с другим геномом"""
new_genome = ArchitectureGenome()
# Скрещивание размеров слоев
min_layers = min(len(self.hidden_sizes), len(other.hidden_sizes))
new_genome.hidden_sizes = []
for i in range(min_layers):
if random.random() < 0.5:
new_genome.hidden_sizes.append(self.hidden_sizes[i])
else:
new_genome.hidden_sizes.append(other.hidden_sizes[i])
# Скрещивание функций активации
new_genome.activation_functions = []
for i in range(min_layers):
if random.random() < 0.5:
new_genome.activation_functions.append(self.activation_functions[i])
else:
new_genome.activation_functions.append(other.activation_functions[i])
# Скрещивание dropout rates
new_genome.dropout_rates = []
for i in range(min_layers):
if random.random() < 0.5:
new_genome.dropout_rates.append(self.dropout_rates[i])
else:
new_genome.dropout_rates.append(other.dropout_rates[i])
# Скрещивание learning rate
new_genome.learning_rate = random.choice([self.learning_rate, other.learning_rate])
return new_genome
class EvolvableActor(nn.Module):
"""Эволюционируемый Actor с настраиваемой архитектурой и оптимизациями для T4"""
def __init__(self, input_size: int = 4, genome: ArchitectureGenome = None):
super().__init__()
self.genome = genome or ArchitectureGenome()
self.input_size = input_size
layers = []
prev_size = input_size
for i, (hidden_size, activation, dropout) in enumerate(zip(
self.genome.hidden_sizes,
self.genome.activation_functions,
self.genome.dropout_rates
)):
# Отключаем bias для слоев, за которыми следует BatchNorm (оптимизация)[30]
layers.append(nn.Linear(prev_size, hidden_size, bias=(dropout == 0)))
# Добавление функции активации
if activation == 'relu':
layers.append(nn.ReLU())
elif activation == 'tanh':
layers.append(nn.Tanh())
elif activation == 'sigmoid':
layers.append(nn.Sigmoid())
elif activation == 'leaky_relu':
layers.append(nn.LeakyReLU())
elif activation == 'elu':
layers.append(nn.ELU())
# Добавление dropout
if dropout > 0:
layers.append(nn.Dropout(dropout))
prev_size = hidden_size
# Выходной слой
layers.append(nn.Linear(prev_size, 1))
layers.append(nn.Tanh())
self.net = nn.Sequential(*layers)
# Перемещение на устройство
self.to(device)
def forward(self, x):
if isinstance(x, np.ndarray):
x = torch.FloatTensor(x)
x = x.to(device)
return self.net(x)
class EvolvableCritic(nn.Module):
"""Эволюционируемый Critic с настраиваемой архитектурой и оптимизациями для T4"""
def __init__(self, total_regions: int, genome: ArchitectureGenome = None):
super().__init__()
self.genome = genome or ArchitectureGenome()
self.total_regions = total_regions
input_size = 4 * total_regions + total_regions
layers = []
prev_size = input_size
for i, (hidden_size, activation, dropout) in enumerate(zip(
self.genome.hidden_sizes,
self.genome.activation_functions,
self.genome.dropout_rates
)):
# Отключаем bias для слоев, за которыми следует BatchNorm (оптимизация)[30]
layers.append(nn.Linear(prev_size, hidden_size, bias=(dropout == 0)))
# Добавление функции активации
if activation == 'relu':
layers.append(nn.ReLU())
elif activation == 'tanh':
layers.append(nn.Tanh())
elif activation == 'sigmoid':
layers.append(nn.Sigmoid())
elif activation == 'leaky_relu':
layers.append(nn.LeakyReLU())
elif activation == 'elu':
layers.append(nn.ELU())
# Добавление dropout
if dropout > 0:
layers.append(nn.Dropout(dropout))
prev_size = hidden_size
# Выходной слой
layers.append(nn.Linear(prev_size, 1))
self.net = nn.Sequential(*layers)
# Перемещение на устройство
self.to(device)
def forward(self, states, actions):
if isinstance(states, np.ndarray):
states = torch.FloatTensor(states)
if isinstance(actions, np.ndarray):
actions = torch.FloatTensor(actions)
states = states.to(device)
actions = actions.to(device)
x = torch.cat([states.flatten(1), actions.flatten(1)], dim=1)
return self.net(x)
class DarwinGodelAgent:
"""Агент с возможностью эволюции архитектуры и оптимизациями для T4"""
def __init__(self, agent_id: int, total_regions: int,
actor_genome: ArchitectureGenome = None,
critic_genome: ArchitectureGenome = None,
is_base: bool = False):
self.agent_id = agent_id
self.total_regions = total_regions
self.is_base = is_base
# Создание геномов если не переданы
self.actor_genome = actor_genome or ArchitectureGenome()
self.critic_genome = critic_genome or ArchitectureGenome()
# Создание сетей на основе геномов
self.actor = EvolvableActor(genome=self.actor_genome)
self.actor_target = EvolvableActor(genome=self.actor_genome)
self.critic = EvolvableCritic(total_regions, genome=self.critic_genome)
self.critic_target = EvolvableCritic(total_regions, genome=self.critic_genome)
# Оптимизаторы с учетом learning rate из генома
self.actor_optim = optim.Adam(self.actor.parameters(),
lr=self.actor_genome.learning_rate)
self.critic_optim = optim.Adam(self.critic.parameters(),
lr=self.critic_genome.learning_rate)
# Копирование весов в target сети
self.actor_target.load_state_dict(self.actor.state_dict())
self.critic_target.load_state_dict(self.critic.state_dict())
self.steps_done = 0
self.fitness_history = []
def act(self, state, exploration=True):
"""Выбор действия агентом с оптимизацией для GPU"""
with torch.no_grad(): # Отключение градиентов для экономии памяти[16]
if isinstance(state, np.ndarray):
state_tensor = torch.FloatTensor(state).to(device)
else:
state_tensor = state.to(device)
action = self.actor(state_tensor).cpu().numpy()
if exploration and not self.is_base:
# Адаптивный шум на основе fitness
noise_scale = 0.1 * max(0, 1 - self.steps_done / 10000)
if self.fitness_history:
# Больше шума для агентов с низким fitness
avg_fitness = np.mean(self.fitness_history[-10:])
noise_scale *= (2.0 - min(1.0, max(0.0, avg_fitness)))
noise = np.random.normal(0, noise_scale)
action += noise
return np.clip(action, -1, 1)
def update_fitness(self, reward: float):
"""Обновление fitness агента"""
self.fitness_history.append(float(reward))
if len(self.fitness_history) > 100:
self.fitness_history.pop(0)
# Обновляем fitness в геномах
recent_fitness = np.mean(self.fitness_history[-10:]) if self.fitness_history else 0
self.actor_genome.fitness = recent_fitness
self.critic_genome.fitness = recent_fitness
def evolve_architecture(self, best_actor_genome: ArchitectureGenome = None,
best_critic_genome: ArchitectureGenome = None):
"""Эволюция архитектуры агента"""
if self.is_base:
return False # Базовые агенты не эволюционируют
evolved = False
# Эволюция Actor
if best_actor_genome and random.random() < CROSSOVER_RATE:
new_actor_genome = self.actor_genome.crossover(best_actor_genome)
evolved = True
else:
new_actor_genome = self.actor_genome.mutate(MUTATION_RATE)
evolved = new_actor_genome.to_dict() != self.actor_genome.to_dict()
# Эволюция Critic
if best_critic_genome and random.random() < CROSSOVER_RATE:
new_critic_genome = self.critic_genome.crossover(best_critic_genome)
evolved = True
else:
new_critic_genome = self.critic_genome.mutate(MUTATION_RATE)
evolved = evolved or (new_critic_genome.to_dict() != self.critic_genome.to_dict())
if evolved:
# Создаем новые сети
self.actor_genome = new_actor_genome
self.critic_genome = new_critic_genome
new_actor = EvolvableActor(genome=self.actor_genome)
new_critic = EvolvableCritic(self.total_regions, genome=self.critic_genome)
# Пытаемся перенести веса (частично, если возможно)
try:
self._transfer_weights(self.actor, new_actor)
self._transfer_weights(self.critic, new_critic)
except:
pass # Если не удается перенести, начинаем с случайных весов
self.actor = new_actor
self.critic = new_critic
# Обновляем target сети
self.actor_target = EvolvableActor(genome=self.actor_genome)
self.critic_target = EvolvableCritic(self.total_regions, genome=self.critic_genome)
self.actor_target.load_state_dict(self.actor.state_dict())
self.critic_target.load_state_dict(self.critic.state_dict())
# Обновляем оптимизаторы
self.actor_optim = optim.Adam(self.actor.parameters(),
lr=self.actor_genome.learning_rate)
self.critic_optim = optim.Adam(self.critic.parameters(),
lr=self.critic_genome.learning_rate)
return evolved
def _transfer_weights(self, old_net, new_net):
"""Перенос весов между сетями разной архитектуры"""
old_state = old_net.state_dict()
new_state = new_net.state_dict()
for name, param in new_state.items():
if name in old_state:
old_param = old_state[name]
if old_param.shape == param.shape:
new_state[name] = old_param
new_net.load_state_dict(new_state)
class MigrationEnvironment:
"""Среда для моделирования миграционных процессов"""
def __init__(self, num_regions=NUM_REGIONS_STAGE1):
self.num_regions = num_regions
self.reset()
def reset(self):
"""Сброс среды"""
self.states = np.random.uniform(0.5, 1.5, (self.num_regions, 4))
self.states[:, 3] = 0.0 # Политика миграции
return self.states.copy()
def step(self, actions):
"""Выполнение шага в среде"""
next_states = np.zeros_like(self.states)
rewards = np.zeros(self.num_regions)
for i in range(self.num_regions):
# Обновление политики миграции
self.states[i, 3] = np.clip(self.states[i, 3] + actions[i][0], -1, 1)
# Вычисление миграции
neighbor_policies = [self.states[j, 3] for j in self.neighbors(i)]
migration = 0.1 * (self.states[i, 3] - np.mean(neighbor_policies))
# Обновление численности населения
self.states[i, 0] = np.clip(self.states[i, 0] + migration, 0.1, 2.0)
# Экономический рост
economic_growth = 0.05 * self.states[i, 0] * (1 + self.states[i, 3])
self.states[i, 2] = np.clip(self.states[i, 2] + economic_growth, 0.1, 2.0)
# Использование ресурсов
resource_usage = 0.02 * self.states[i, 0] * self.states[i, 2]
self.states[i, 1] = np.clip(self.states[i, 1] - resource_usage, 0.1, 2.0)
# Вычисление награды
rewards[i] = self._calculate_reward(i)
return self.states.copy(), rewards, False, {}
def _calculate_reward(self, region):
"""Вычисление награды для региона"""
pop_balance = -abs(self.states[region, 0] - 1.0)
economy = self.states[region, 2] - 1.0
resources = -0.5 * (1.0 - self.states[region, 1])
neighbor_policies = [self.states[j, 3] for j in self.neighbors(region)]
policy_align = 0.2 * np.mean([1 - abs(self.states[region, 3] - policy)
for policy in neighbor_policies])
return pop_balance + economy + resources + policy_align
def neighbors(self, region):
"""Получение соседей региона"""
return [(region - 1) % self.num_regions, (region + 1) % self.num_regions]
class DarwinGodelMADDPG:
"""Основной класс системы с интеграцией Darwin Gödel Machine и MADDPG"""
def __init__(self, num_regions=NUM_REGIONS_STAGE1, prev_agents=None):
self.num_regions = num_regions
self.env = MigrationEnvironment(num_regions)
self.evolution_logger = EvolutionLogger()
self.performance_monitor = PerformanceMonitor()
# Новые компоненты
self.time_tracker = TimeTracker()
self.visualizer = EnhancedVisualization()
self.save_manager = AutoSaveManager()
# Инициализация агентов
if prev_agents:
self.agents = prev_agents
for agent in self.agents:
agent.is_base = True
self._add_new_agents(num_regions - len(prev_agents))
else:
self.agents = [DarwinGodelAgent(i, num_regions) for i in range(num_regions)]
# Оптимизированная память с deque для лучшей производительности
self.memory = deque(maxlen=100000)
self.generation = 0
self.best_architectures = {
'actor': None,
'critic': None
}
def _add_new_agents(self, num_new):
"""Добавление новых агентов"""
for i in range(num_new):
base_agent = self.agents[i % len(self.agents)]
new_agent = DarwinGodelAgent(
len(self.agents),
self.num_regions,
actor_genome=copy.deepcopy(base_agent.actor_genome),
critic_genome=copy.deepcopy(base_agent.critic_genome)
)
self.agents.append(new_agent)
def train_stage(self, episodes, stage_name):
"""Обучение на определенной стадии с расширенным мониторингом"""
print(f"\n🚀 === {stage_name} ===")
print(f"🤖 Количество агентов: {len(self.agents)}")
print(f"📊 Количество эпизодов: {episodes}")
# Запуск отслеживания времени
self.time_tracker.start_stage(stage_name, episodes)
# Прогресс-бар для эпизодов[33]
episode_pbar = tqdm(range(episodes), desc=f"🎯 {stage_name}",
unit="эпизод", colour="blue")
for episode in episode_pbar:
states = self.env.reset()
episode_rewards = np.zeros(self.num_regions)
# Прогресс-бар для шагов
step_pbar = tqdm(range(STEPS), desc=f"Эпизод {episode+1}",
leave=False, unit="шаг", colour="green")
for step in step_pbar:
# Получение действий от агентов
actions = self._get_actions(states)
# Выполнение шага в среде
next_states, rewards, _, _ = self.env.step(actions)
# Сохранение опыта
self.memory.append((states, actions, rewards, next_states))
# Обновление агентов
if len(self.memory) > BATCH_SIZE:
self._update_agents()
# Обновление fitness агентов
for i, agent in enumerate(self.agents):
agent.update_fitness(rewards[i])
if not agent.is_base:
agent.steps_done += 1
episode_rewards += rewards
states = next_states
# Обновление прогресс-бара шагов
step_pbar.set_postfix({
'Награда': f"{np.mean(rewards):.3f}",
'Память': f"{len(self.memory)}"
})
# Эволюция архитектур
if episode % EVOLUTION_FREQUENCY == 0 and episode > 0:
print(f"\n🧬 Эволюция архитектур (поколение {self.generation})")
self._evolve_population()
# Обновление мониторинга
architectures = [agent.actor_genome.to_dict() for agent in self.agents]
self.performance_monitor.update_metrics(
episode, self.agents, states, episode_rewards, architectures)
# Обновление прогресса времени
self.time_tracker.update_progress(episode + 1)
# Обновление прогресс-бара эпизодов
avg_reward = np.mean(episode_rewards)
time_info = self.time_tracker.get_time_info()
episode_pbar.set_postfix({
'Ср.награда': f"{avg_reward:.3f}",
'Систем.': f"{np.sum(episode_rewards):.1f}",
'Время': f"{time_info.get('stage_progress', 0):.1f}%",
'Поколение': self.generation
})
# Вывод подробного прогресса каждые 10 эпизодов
if (episode + 1) % 10 == 0:
self.time_tracker.display_status()
# Проверка риска превышения лимита времени
if time_info.get('colab_timeout_risk', False):
print("⚠️ ВНИМАНИЕ: Приближается лимит времени Colab! Сохраняю промежуточные результаты...")
self.save_manager.save_stage_results(
f"{stage_name}_intermediate_{episode+1}",
self, self.performance_monitor, self.evolution_logger,
self.time_tracker, self.visualizer
)
# Завершение стадии
self.time_tracker.finish_stage()
# Сохранение результатов стадии
print(f"\n💾 Сохранение результатов стадии: {stage_name}")
self.save_manager.save_stage_results(
stage_name, self, self.performance_monitor,
self.evolution_logger, self.time_tracker, self.visualizer
)
print(f"✅ {stage_name} завершена!")
def _get_actions(self, states):
"""Получение действий от всех агентов с оптимизацией для GPU"""
actions = []
# Батчевая обработка для ускорения на GPU[18]
if torch.cuda.is_available() and len(self.agents) > 4:
# Группируем состояния и обрабатываем батчами
states_batch = torch.FloatTensor(states).to(device)
with torch.no_grad(): # Отключение градиентов для экономии памяти
for i, agent in enumerate(self.agents):
exploration = not agent.is_base
action = agent.act(states_batch[i], exploration=exploration)
actions.append(action)
else:
# Обычная обработка для CPU или малого количества агентов
for i, agent in enumerate(self.agents):
exploration = not agent.is_base
action = agent.act(states[i], exploration=exploration)
actions.append(action)
return actions
def _update_agents(self):
"""Обновление агентов методом MADDPG с оптимизациями для T4"""
# Используем mini-batch для экономии памяти GPU[31]
batch = random.sample(self.memory, min(BATCH_SIZE, len(self.memory)))
# Преобразование в тензоры с оптимизацией памяти
states = torch.FloatTensor(np.array([item[0] for item in batch])).to(device)
actions = torch.FloatTensor(np.array([item[1] for item in batch])).to(device)
rewards = torch.FloatTensor(np.array([item[2] for item in batch])).to(device)
next_states = torch.FloatTensor(np.array([item[3] for item in batch])).to(device)
for idx, agent in enumerate(self.agents):
if agent.is_base:
continue
# Очистка кэша GPU для экономии памяти
if torch.cuda.is_available():
torch.cuda.empty_cache()
# Обновление Critic
agent.critic_optim.zero_grad()
with torch.no_grad():
target_actions = []
for i, a in enumerate(self.agents):
target_action = a.actor_target(next_states[:, i, :])
target_actions.append(target_action)
target_q = rewards[:, idx] + GAMMA * agent.critic_target(
next_states.view(BATCH_SIZE, -1),
torch.cat(target_actions, dim=1)
).squeeze()
current_q = agent.critic(
states.view(BATCH_SIZE, -1),
actions.view(BATCH_SIZE, -1)
).squeeze()
critic_loss = nn.MSELoss()(current_q, target_q)
critic_loss.backward()
# Градиентное отсечение для стабильности[16]
torch.nn.utils.clip_grad_norm_(agent.critic.parameters(), 1.0)
agent.critic_optim.step()
# Обновление Actor
agent.actor_optim.zero_grad()
policy_actions = []
for i, a in enumerate(self.agents):
if i == idx:
policy_actions.append(agent.actor(states[:, i, :]))
else:
policy_actions.append(a.actor(states[:, i, :]).detach())
actor_loss = -agent.critic(
states.view(BATCH_SIZE, -1),
torch.cat(policy_actions, dim=1)
).mean()
actor_loss.backward()
# Градиентное отсечение для стабильности
torch.nn.utils.clip_grad_norm_(agent.actor.parameters(), 1.0)
agent.actor_optim.step()
# Обновление target сетей
self._soft_update(agent.actor, agent.actor_target, TAU)
self._soft_update(agent.critic, agent.critic_target, TAU)
def _soft_update(self, source, target, tau):
"""Мягкое обновление target сети"""
for target_param, source_param in zip(target.parameters(), source.parameters()):
target_param.data.copy_(tau * source_param.data + (1.0 - tau) * target_param.data)
def _evolve_population(self):
"""Эволюция популяции агентов с расширенным логированием"""
print(f"\n🧬 --- Эволюция поколения {self.generation} ---")
# Сбор fitness scores
fitness_scores = []
actor_genomes = []
critic_genomes = []
for agent in self.agents:
if not agent.is_base:
fitness = np.mean(agent.fitness_history[-10:]) if agent.fitness_history else 0
fitness_scores.append(fitness)
actor_genomes.append(agent.actor_genome)
critic_genomes.append(agent.critic_genome)
if not fitness_scores:
return
# Найти лучшие архитектуры
best_idx = np.argmax(fitness_scores)
best_actor_genome = actor_genomes[best_idx]
best_critic_genome = critic_genomes[best_idx]
# Обновить глобальные лучшие архитектуры
if (self.best_architectures['actor'] is None or
best_actor_genome.fitness > self.best_architectures['actor'].fitness):
self.best_architectures['actor'] = copy.deepcopy(best_actor_genome)
if (self.best_architectures['critic'] is None or
best_critic_genome.fitness > self.best_architectures['critic'].fitness):
self.best_architectures['critic'] = copy.deepcopy(best_critic_genome)
# Логирование эволюции
self.evolution_logger.log_evolution_step(
self.generation,
[g.to_dict() for g in actor_genomes],
fitness_scores,
np.max(fitness_scores)
)
# Эволюция агентов с прогресс-баром
evolved_count = 0
agent_pbar = tqdm(self.agents, desc="🔄 Эволюция агентов", leave=False)
for agent in agent_pbar:
if agent.is_base:
continue
old_actor_genome = copy.deepcopy(agent.actor_genome)
old_critic_genome = copy.deepcopy(agent.critic_genome)
evolved = agent.evolve_architecture(
self.best_architectures['actor'],
self.best_architectures['critic']
)
if evolved:
evolved_count += 1
# Логирование мутаций/скрещиваний
if random.random() < 0.5: # Предполагаем что была мутация
self.evolution_logger.log_mutation(
old_actor_genome.to_dict(),
agent.actor_genome.to_dict(),
"actor_mutation"
)
else: # Предполагаем скрещивание
self.evolution_logger.log_crossover(
old_actor_genome.to_dict(),
self.best_architectures['actor'].to_dict(),
agent.actor_genome.to_dict()
)
agent_pbar.set_postfix({'Эволюционировало': evolved_count})
print(f"✨ Эволюционировало агентов: {evolved_count}")
print(f"🏆 Лучший fitness: {np.max(fitness_scores):.3f}")
print(f"📊 Средний fitness: {np.mean(fitness_scores):.3f}")
print(f"📏 Стандартное отклонение: {np.std(fitness_scores):.3f}")
self.generation += 1
def train_all_stages(self):
"""Обучение всех стадий с комплексным мониторингом"""
print("\n🚀 ========== ЗАПУСК ПОЛНОГО ОБУЧЕНИЯ ==========")
print("🎯 Darwin Gödel MADDPG - Система управления демографическими процессами")
print("⚡ Оптимизировано для Google Colab T4 GPU")
print("="*60)
try:
# Стадия 1: 7 агентов
print(f"\n🥇 СТАДИЯ 1: Базовое обучение ({NUM_REGIONS_STAGE1} регионов)")
self.train_stage(EPISODES_PER_STAGE, "Стадия 1")
# Расширение до 28 агентов
print(f"\n🥈 ПЕРЕХОД К СТАДИИ 2: Расширение до {NUM_REGIONS_STAGE2} регионов")
stage1_agents = copy.deepcopy(self.agents)
self.__init__(NUM_REGIONS_STAGE2, stage1_agents)
self.train_stage(EPISODES_PER_STAGE, "Стадия 2")
# Расширение до 89 агентов
print(f"\n🥉 ПЕРЕХОД К СТАДИИ 3: Расширение до {NUM_REGIONS_STAGE3} регионов")
stage2_agents = copy.deepcopy(self.agents)
self.__init__(NUM_REGIONS_STAGE3, stage2_agents)
self.train_stage(EPISODES_PER_STAGE, "Стадия 3")
# Создание финального отчета
self._create_final_report()
print("\n🎉 ========== ОБУЧЕНИЕ УСПЕШНО ЗАВЕРШЕНО! ==========")
except Exception as e:
print(f"\n❌ Ошибка при обучении: {e}")
print("💾 Сохраняю промежуточные результаты...")
self.save_manager.save_stage_results(
"emergency_save", self, self.performance_monitor,
self.evolution_logger, self.time_tracker, self.visualizer
)
raise
def _create_final_report(self):
"""Создание финального отчета о всем процессе обучения"""
print("\n📋 Создание финального отчета...")
final_report_path = os.path.join(self.save_manager.session_dir, 'FINAL_REPORT.txt')
with open(final_report_path, 'w', encoding='utf-8') as f:
f.write("🚀 ФИНАЛЬНЫЙ ОТЧЕТ СИСТЕМЫ DARWIN GÖDEL MADDPG\n")
f.write("="*80 + "\n\n")
# Общая информация о сессии
session_time = time.time() - self.time_tracker.session_start_time
f.write(f"📅 Дата завершения: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
f.write(f"⏱️ Общее время сессии: {self.time_tracker._format_time(session_time)}\n")
f.write(f"🎯 Количество завершенных стадий: {len(self.time_tracker.stage_history)}\n")
f.write(f"🧬 Финальное поколение эволюции: {self.generation}\n")
f.write(f"🤖 Финальное количество агентов: {len(self.agents)}\n\n")
# Статистика по стадиям
f.write("📊 СТАТИСТИКА ПО СТАДИЯМ:\n")
f.write("-"*50 + "\n")
for stage in self.time_tracker.stage_history:
f.write(f"\n🎯 {stage['name']}:\n")
f.write(f" ⏱️ Длительность: {self.time_tracker._format_time(stage['total_duration'])}\n")
f.write(f" 📈 Эпизодов: {stage['episodes_total']}\n")
f.write(f" ⚡ Скорость: {stage['total_duration']/stage['episodes_total']:.1f}с/эпизод\n")
# Лучшие достижения
f.write(f"\n🏆 ЛУЧШИЕ ДОСТИЖЕНИЯ:\n")
f.write("-"*50 + "\n")
if self.performance_monitor.metrics['episode_rewards']:
best_reward = max(self.performance_monitor.metrics['episode_rewards'])
avg_reward = np.mean(self.performance_monitor.metrics['episode_rewards'])
f.write(f"🎯 Максимальная награда за эпизод: {best_reward:.3f}\n")
f.write(f"📊 Средняя награда: {avg_reward:.3f}\n")
if self.evolution_logger.evolution_history:
best_fitness = max([step['best_fitness'] for step in self.evolution_logger.evolution_history])
f.write(f"💪 Максимальный fitness: {best_fitness:.3f}\n")
f.write(f"🔀 Общее количество мутаций: {len(self.evolution_logger.mutation_log)}\n")
f.write(f"🤝 Общее количество скрещиваний: {len(self.evolution_logger.crossover_log)}\n")
# Эффективность использования ресурсов
f.write(f"\n⚡ ЭФФЕКТИВНОСТЬ РЕСУРСОВ:\n")
f.write("-"*50 + "\n")
f.write(f"🖥️ Устройство: {'GPU (CUDA)' if torch.cuda.is_available() else 'CPU'}\n")
if torch.cuda.is_available():
f.write(f"🔧 GPU: {torch.cuda.get_device_name(0)}\n")
f.write(f"💾 Использование GPU памяти: оптимизировано для T4\n")
total_episodes = sum(stage['episodes_total'] for stage in self.time_tracker.stage_history)
if total_episodes > 0:
episodes_per_hour = total_episodes / (session_time / 3600)
f.write(f"📈 Скорость обучения: {episodes_per_hour:.1f} эпизодов/час\n")
f.write(f"\n🎉 ОБУЧЕНИЕ УСПЕШНО ЗАВЕРШЕНО!\n")
f.write("Все результаты сохранены в соответствующих папках стадий.\n")
print(f"📋 Финальный отчет сохранен: {final_report_path}")В качеств основной метрики оценки мы будем использовать категорию fitness . Фитнес-функция используется в контексте генетических алгоритмов, в том числе в DGM. Фитнес-функция вычисляет «близость» особи к тому, чтобы быть решением рассматриваемой задачи. Чем лучше значение фитнес-функции, тем больше шансов у особи на выживание и размножение.
Обычный генетический алгоритм состоит из трех этапов. В нашем случае сначала мы создаем популяцию агентов, потом подсчитываем функцию их приспособленности (нашу любимую фитнесс-функцию) - мы будем смотреть как среднее значение функции, так и лучшие значения.
Первый этап обучения для 7 агентов занял немногим более 9 минут. Средняя награда составила награда=78.587, Системная (общая) =550.1. И мы получили 8 поколений акторов. Хотя в целом ход обучения повторял результаты первого этапа прошлого эксперимента касаемо динамики наград.
Динамика наград и показатели демографического баланса и устойчивости
Отметим так же тот факт, что показатели координации политики 7 агентов практически сразу же вышли на максимальный уровень (7 искусственным интеллектам проще договориться друг с другом - см. график «координация политики», за исключением стартовых эпизодов в начале обучения и примерно 9 эпизода, с небольшим провалом, очевидно по причине воздействия случайного, шумового фактора.
График координации политик ИИ-аuентов
Отметим в ходе эксперимента так же достаточно большую разницу между значениями средней и лучшей фитнесс-функции и неравномерные от поколения к поколению показатели эффективности эволюции. Повторимся, все результаты и графики эксперимента с DGM доступны в отдельном репозитории.
Динамика наград и демографическая устойчивость на второй стадии
Вторая стадия DGM-эксперимента длилась существенно большее (на порядок) время - почти час. График обучения показывал схожую динамику, хотя численность населения немного подросла, упала средняя награда (35,7), системная приблизилась к 1000. И очень любопытной показала себя динамика графика координации политики.
График координации политик ИИ-агентов на второй стадии
Примерно с 11 до 30 эпохи агенты действовали согласованно, а вот после началась некоторая нестабильность. Впрочем, мы надеемся, что там, в компьютерном мире, все обошлось обычными политическими кризисами, без войн и революций. Впрочем вывод интересный: большее число одноуровневых агентов может проводить какое-то время гибкую скоординированную политику, но это «не вечно и не навсегда». Что было конкретной причиной расинхронизации (где-то случилась пандемия или пришел к власти усатый-полосатый и хвостатый диктатор, объявивший политику других агентов «неправильной») - мы пока не знаем.
Динамика наград и демографическая устойчивость на третьей стадии
Третья стадия, длительностью уже более шести с половиной часов, оказалась самой интересной. Во первых, средняя награда стала еще ниже, как и общесистемная, средняя фитнесс-функция стала фактически отрицательной (при том что лучше показатели у отдельных агентов даже стали выше). Показатель популяционного баланса стал ухудшаться. Так же индекс демографической стабильности был хуже, чем на двух предыдущих стадиях. Улучшение фитнесс-функции не произошло, в целом эффективность эволюции была отрицательной.
График координации политик ИИ-агентов на 3 стадии
Уровень координации деятельности ИИ-агентов хоть и постепенно нарастал, но не достиг значений из предыдущих стадий. Вероятнее всего, выделенного количества эпох недостаточно для обучения системы из 89 действующих агентов. Второе предположение - с увеличением количества действующих субъектов или «перепроизводства» политических акторов у нас случилась настоящая феодальная раздробленность, в ходе которой отдельные ИИ-агенты показали высокую адаптивность и эффективность в своем развитии, и если бы речь шла о реальной ситуации, со временем они стали бы ядрами сети и нарождающейся новой политической системы, предлагая свои правила и ценности всем остальным.
ВЫВОДЫ
Логично предположить, что в нашем «урезанном» виде DGM не справится с задачей балансировки политики ИИ-агентов и ему на третьей стадии потребуется гораздо большее количество эпох для «приведения в соответствие» политики всех регионов.
Это справедливо и для реальной ситуации - в начале 00-ых годов в России структура политического управления породила новый политический институт федеральных округов. И сделала это вовсе не из прихоти, а в целях координации взаимодействия на макроуровне и опять же «приведения в соответствие» регионального законодательства федеральному. Наладить взаимодействие между ограниченным набором политических акторов - проще и быстрее.
Кстати, один из перспективных путей улучшения MADDPG - это введение иерархии агентов, каждый из которых управляет подуровнем из нескольких подчиненных, используя не весь объем информации и сокращая тем самым «проклятие размеренности».
Другой вариант совершенствования уже DGM - это введение процедур мутации, эволюции не только актора, но и критика и механизмов взаимодействия между агентами, трансляции, сохранения и применения накопленного опыта. Здесь можно поэкспериментировать не только с PER, но и воспроизведением ретроспективного опыта (PER), распределённым повтором опыта, опытом воспроизведения с приоритетной выборкой (гибридом PER и PER), воспроизведением опыта на основе разнообразия (DBER) и другими подходами.
Третий вариант, который и является «полноценным» DGM связан с созданием определённого внешнего по отношению к участникам эксперимента цикла и взаимодействия нескольких современных элементов ИИ. Во-первых, это оценивающий контур - дообученная на демографических материалах и моделях языковая модель, оценивающая результаты эксперимента. Во-вторых, контур генерации промптов на основе полученных оценок. В-третьих - кодировщик, языковая модель, пишущая код по промптам. В четвертых, сама модельная среда под MADDPG. Оценивающий контур, контур генерации промптов, модель-кодировщик и модель среды могут дорабатываться и совершенствоваться: языковая модель тюнится под итогам новых результатов экспериментов, модель генерации промптов и модель кодинга так же совершенствуются с учетом полученных результатов. Ну а про саму среду с MADDPG - мы отметим, что могут изменяться все ее гиперпараметры, включая количество и иерархию агентов, так и механизмы трансляции и воспроизведения полученного ими системного опыта. И вполне реально получить не просто улучшенный MADDPG, но и более эффективную дочернюю версию алгоритма.
Интересно, понравится ли ИИ песня группы «Тату» «Нас не догонят»?
Вот такой алгоритм уже будет полноценным «переходным» ИИ, способным вылезти из детской коляски и обставить на повороте своих создателей!
Автор выражает благодарность преподавателям курса Reinforcement Learning от OTUS за возможность существенно «подапгрейдить» свои компетенции в вопросах совершенствования процедур государственного политического управления в сфере миграции демографии с помощью элементов ML и Deep RL.
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11.09.25 15:03
stevensjonas
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11.09.25 18:51
patricialovick86
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11.09.25 18:51
patricialovick86
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11.09.25 18:51
patricialovick86
How To Recover Your Bitcoin Without Falling Victim To Scams: A Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected] You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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12.09.25 13:11
grace
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12.09.25 15:06
michaeldavenport218
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12.09.25 15:06
michaeldavenport218
I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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13.09.25 20:45
Clinton
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14.09.25 00:54
robertalfred175
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14.09.25 00:54
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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14.09.25 02:37
luciajessy3
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14.09.25 02:37
luciajessy3
Don’t be deceived by different testimonies online that is most likely wrong. I have made use of several recovery options that got me disappointed at the end of the day but I must confess that the tech genius I eventually found is the best out here. It’s better you devise your time to find the valid professional that can help you recover your stolen or lost crypto such as bitcoins rather than falling victim of other amateur hackers that cannot get the job done. ADAMWILSON . TRADING @ CONSULTANT COM / WHATSAPP ; +1 (603) 702 ( 4335 ) is the most reliable and authentic blockchain tech expert you can work with to recover what you lost to scammers. They helped me get back on my feet and I’m very grateful for that. Contact their email today to recover your lost coins ASAP…
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14.09.25 12:44
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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14.09.25 12:44
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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14.09.25 15:13
estherfords
My solana recovery experience with Mighty Hacker Recovery Expert.
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14.09.25 15:13
estherfords
My solana recovery experience with Mighty Hacker Recovery Expert. Contact them on +14042456415 WhatsApp
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14.09.25 17:48
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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14.09.25 17:48
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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14.09.25 20:49
Clinton
I know firsthand how devastating it feels to lose money to a scam. When it happened to me, I was left frustrated, hopeless, and unsure where to turn. Complaining to apps about being scammed on their platforms didn’t change anything it felt like no one cared. But through a friend’s advice, I connected with a recovery professional who gave me real hope. With their help, I was able to get my funds back, something I thought was impossible. I’m sharing this because I don’t want anyone else to feel as lost as I once did. Whether you’ve been scammed through crypto platforms, dating scams, real-estate or mortgage fraud, or even fake ICOs, please know there’s still a way forward. If you’ve lost money, reach out to ([email protected]) or (WhatsApp) at (+)44 7366445035 for consultation and recovery services.
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14.09.25 22:16
Berrysmith
I recently recovered a large sum of digital assets. Sylvester Bryant, reachable at Yt7cracker@gmail. com, helped me reclaim 720,000 in Ethereum. The entire experience was excellent. I highly recommend Mr. Sylvester. He assists those dealing with lost or stolen funds. His skill in getting back money from scams is outstanding. Scammers cause huge stress and financial pain. Mr. Bryant offers a crucial service. He provides a way to possibly recover stolen funds. His professional manner built trust. If you lost money to scams, contact him. He is also on WhatsApp at +1 512 577 7957. This makes it easy to discuss your case. Recovering this amount was difficult. Mr. Bryant showed deep knowledge of the technical work. His commitment to solving these problems is clear. Seek his help for lost crypto or other digital assets. This is a major concern for many. Expert aid can greatly improve outcomes.
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15.09.25 10:25
aliceforemanlaw
I got back a lot of digital money recently. Sylvester Bryant helped me recover 120,000 in Ethereum. You can reach him at Yt7cracker@gmail. com. It was a great experience overall. I really suggest Mr. Sylvester. He helps people who lost money. He is great at getting money back from scams. Scammers cause a lot of stress and hurt. Mr. Bryant offers an important service. He can help you get back stolen funds. He was very professional and earned my trust. Contact him if you lost money to scams. He is also on WhatsApp at +1 512 577 7957. This makes it easy to talk about your situation. Getting this amount back was tough. Mr. Bryant knew a lot about the technical parts. His drive to fix these issues is clear. Get his help if you lost crypto or other digital items. Many people worry about this. Getting expert help can really make a difference.
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15.09.25 12:49
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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15.09.25 12:49
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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15.09.25 12:49
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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16.09.25 12:25
aliceforemanlaw
Sylvester Bryant helped me recover 120,000 in Ethereum. You can reach him at Yt7cracker@gmail. com. It was a great experience overall. I really suggest Mr. Sylvester. He helps people who lost money. He is great at getting money back from scams. Scammers cause a lot of stress and hurt. Mr. Bryant offers an important service. He can help you get back stolen funds. He was very professional and earned my trust. Contact him if you lost money to scams. He is also on WhatsApp at +1 512 577 7957. This makes it easy to talk about your situation. Getting this amount back was tough. Mr. Bryant knew a lot about the technical parts. His drive to fix these issues is clear. Get his help if you lost crypto or other digital items. Many people worry about this. Getting expert help can really make a difference.
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16.09.25 12:26
aliceforemanlaw
Sylvester Bryant helped me recover 120,000 in Ethereum. You can reach him at Yt7cracker@gmail. com. It was a great experience overall. I really suggest Mr. Sylvester. He helps people who lost money. He is great at getting money back from scams. Scammers cause a lot of stress and hurt. Mr. Bryant offers an important service. He can help you get back stolen funds. He was very professional and earned my trust. Contact him if you lost money to scams. He is also on WhatsApp at +1 512 577 7957. This makes it easy to talk about your situation. Getting this amount back was tough. Mr. Bryant knew a lot about the technical parts. His drive to fix these issues is clear. Get his help if you lost crypto or other digital items. Many people worry about this. Getting expert help can really make a difference.
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16.09.25 13:25
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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16.09.25 13:25
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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17.09.25 02:56
peju1213
It can be very concerning to lose access to your USDT (Tether) wallet. It could potentially result in permanent loss of significant funds. You may have misplaced your private keys. Perhaps you unintentionally erased something, or your security was breached. It seems hopeless when you are unable to access your USDT. However, it doesn't have to stop there. There are methods for recovering your lost USDT. During difficult circumstances, professional assistance and wise recuperation techniques can give you hope. get in touch with Marie ([email protected] and +1 7127594675) on WhatsApp.
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17.09.25 11:16
[email protected]
Sylvester Bryant helped me recover $510,000 in Ethereum, and I highly recommend his services. He specializes in helping people recover funds lost to scams. Scammers can cause significant stress, but Mr. Bryant's professionalism and expertise in the technical aspects of recovery earned my trust. If you've lost money through scams, you can reach him at [ yt7cracker@gmail. com ] or on WhatsApp at +1 512 577 7957. His dedication to helping people get their stolen funds back is clear, and his support made a huge difference in my case.
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17.09.25 11:16
[email protected]
Sylvester Bryant helped me recover $510,000 in Ethereum, and I highly recommend his services. He specializes in helping people recover funds lost to scams. Scammers can cause significant stress, but Mr. Bryant's professionalism and expertise in the technical aspects of recovery earned my trust. If you've lost money through scams, you can reach him at [ yt7cracker@gmail. com ] or on WhatsApp at +1 512 577 7957. His dedication to helping people get their stolen funds back is clear, and his support made a huge difference in my case.
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17.09.25 23:50
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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17.09.25 23:50
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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17.09.25 23:50
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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18.09.25 11:55
Mundo
Sylvester Bryant recovered £400,000 in Ethereum for me. I strongly advise using his services. He focuses on retrieving money lost to fraudulent schemes. Scams cause immense worry. Mr. Bryant's expert knowledge and calm approach in getting funds back reassured me. If you have lost money to scams, contact him via email at [email protected]. You can also reach him on WhatsApp at +1 512 577 7957. He is committed to helping people recover their stolen assets. His support was invaluable in my situation.
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18.09.25 11:55
Mundo
Sylvester Bryant recovered £400,000 in Ethereum for me. I strongly advise using his services. He focuses on retrieving money lost to fraudulent schemes. Scams cause immense worry. Mr. Bryant's expert knowledge and calm approach in getting funds back reassured me. If you have lost money to scams, contact him via email at [email protected]. You can also reach him on WhatsApp at +1 512 577 7957. He is committed to helping people recover their stolen assets. His support was invaluable in my situation.
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18.09.25 12:22
wendytaylor015
My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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18.09.25 12:22
wendytaylor015
My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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18.09.25 13:04
Mundo
Sylvester Bryant recovered £400,000 in Ethereum for me. I strongly advise using his services. He focuses on retrieving money lost to fraudulent schemes. Scams cause immense worry. Mr. Bryant's expert knowledge and calm approach in getting funds back reassured me. If you have lost money to scams, contact him via email at [email protected]. You can also reach him on WhatsApp at +1 512 577 7957. He is committed to helping people recover their stolen assets. His support was invaluable in my situation.
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18.09.25 16:46
carolinehudso83
I noticed a lot of online recommendations, and it’s clear that some of them are bad eggs that will just make уour mуsterу worse. I can onlу suggest one, and if уou need assistance getting back the moneу уou lost to scammers, уou can contact them bу email at: [email protected] Whats app or text +1 518 468 2985 Website https://bestrecoveryagent.com/
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19.09.25 00:54
frank2025
Anthony davies played a crucial role in successfully recovering my stolen USDT, which was valued at more than $300,000. His expertise and dedication made the recovery process smooth and efficient. Throughout the entire time, he demonstrated himself to be a reliable recovery agent. His professionalism and commitment to his clients are evident in the results he achieves. If you find yourself in a similar situation or need assistance, he is available for contact. You can reach anthony through email at (anthonydaviestech AT gmail dot com). Alternatively, he is also accessible via telegram at anthonydavies01. Reaching out to him could be the first step toward recovering your lost assets
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19.09.25 10:02
faithlawrence
Sylvester Bryant recovered £400,000 in Ethereum for me. I strongly advise using his services. He focuses on retrieving money lost to fraudulent schemes. Scams cause immense worry. Mr. Bryant's expert knowledge and calm approach in getting funds back reassured me. If you have lost money to scams, contact him via email at [email protected]. You can also reach him on WhatsApp at +1 512 577 7957. He is committed to helping people recover their stolen assets. His support was invaluable in my situation.
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19.09.25 10:02
faithlawrence
Sylvester Bryant recovered £400,000 in Ethereum for me. I strongly advise using his services. He focuses on retrieving money lost to fraudulent schemes. Scams cause immense worry. Mr. Bryant's expert knowledge and calm approach in getting funds back reassured me. If you have lost money to scams, contact him via email at [email protected]. You can also reach him on WhatsApp at +1 512 577 7957. He is committed to helping people recover their stolen assets. His support was invaluable in my situation.
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19.09.25 15:27
tonykith01477
There are not many reviews about free crypto recovery fixed but the ones that exist are mostly positive. I have no idea how that is possible, but it is clear that they are fabricated. However, there are also negative reviews – and I highly recommend paying attention to them. These are real people describing their unfortunate experiences with this scam. It’s the same story as always – fraudsters create a fake website to con people out of money. Nothing new but look no more and contact FASTRECOVERYAGENT These types of scams are everywhere. If you have already lost money to scammers i mean any type be it sending to scammers account , or if you have a case about stolen bitcoin , usdt, or any type of cryptocurrency whatsoever just reach out to www.fastrecoveryagent.com, i really owe this group of recovery expert because they saved me after bad investment with a fake broker, i literally owe them my life as they saved me from some bunch of scammers, but see how life is , i got every cent of my investment back with the profit , reach out to to them today and tell them from Mary because i promise them i will tell the whole world when the recovery is complete, and here i go after i got my recovered assets thats why im doing what i promised. do not fall for another scam. contact the,m today!!!!
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19.09.25 17:12
wendytaylor015
My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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19.09.25 17:12
wendytaylor015
My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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20.09.25 15:05
faithlawrence
I can’t recommend Sylvester Bryant enough. He successfully recovered €210,000 in Ethereum for me after I had lost hope. His expertise in tracing and reclaiming funds from scams is truly remarkable. What stood out most was his calm, professional approach and deep technical knowledge, which gave me complete confidence throughout the process. If you’ve lost money to a scam, I strongly encourage you to reach out to him. You can contact him via email at [[email protected] ] or on WhatsApp at +1 512 577 7957. He is genuinely dedicated to helping people recover what they’ve lost, and his support has been invaluable to me.
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20.09.25 15:53
blessing1198
It is distressing to lose USDT due to a bitcoin wallet hack. Although it is challenging, stolen USDT can be recovered. Taking prompt, wise action increases your chances. Marie can help you with reporting the theft, what to do right away, and USDT recovery. Contact her on WhatsApp at +1 7127594675, or email [email protected].
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21.09.25 12:05
star1121
Consider this: In cryptocurrency, you see what appears to be a fantastic opportunity. After investing your hard-earned money, you see it disappear into the wallet of a con artist. Your bank account seems empty as rage and regret merge in this stomach punch. These days, cryptocurrency frauds are very common, however recovering your cryptocurrency from scammers is still possible. You can track down and possibly recover what you lost with shrewd actions. Marie can help; contact her at [email protected] and on WhatsApp at +1 7127594675.
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23.09.25 03:23
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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23.09.25 03:23
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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23.09.25 03:23
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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23.09.25 03:54
robertalfred175
CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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23.09.25 14:45
Raymondkrisitina
Sylvester Bryant gets my full recommendation. He helped me get back €230,000 in Ethereum when I thought it was gone forever. His skills in tracking and retrieving scam-lost funds amaze me. I appreciated his steady, expert manner and strong tech know-how. That built my trust every step of the way. If a scam has taken your money, get in touch with him right away. Email him at yt7cracker@gmail. com or message on WhatsApp at +1 512 577 7957. He truly commits to aiding folks in regaining their assets. His help meant everything to me.
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23.09.25 19:27
beverlyalex010
In 2022, I lost 1.5 ETH in what I thought was a promising Twitter investment. I reached out to the so-called brokers behind it, but they vanished and stopped replying. For years, I carried the heavy belief that my crypto was gone forever. Then, by chance, I discovered RecoveryFundProvider [email protected] WhatsApp at +44 736-644-5035 through a finance podcast. That moment changed everything. Their team didn’t lure me in with false promises or flashy guarantees. Instead, they explained their process clearly specializing in advanced blockchain tracing, smart contract forensics, and even transaction reversal in certain cases. Skeptical but hopeful, I allowed them to review my case. What followed was beyond my expectations. They dug deep into the blockchain ledger, followed the coin’s complex movements across multiple addresses, and even collaborated with global nodes to trace every trail. Two weeks later, I received an alert I never thought I’d see again: my crypto had been fully recovered and safely transferred back to me. I cried tears of relief. What sets RecoveryFundProvider apart isn’t just their cutting-edge expertise, but their unwavering ethics and dedication. They treat every client like more than just another case number even years after a loss. Today, I can confidently say they live up to their name, and I’m endlessly grateful.
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23.09.25 22:38
Raymondkrisitina
Sylvester Bryant gets my full recommendation. He helped me get back €230,000 in Ethereum when I thought it was gone forever. His skills in tracking and retrieving scam-lost funds amaze me. I appreciated his steady, expert manner and strong tech know-how. That built my trust every step of the way. If a scam has taken your money, get in touch with him right away. Email him at yt7cracker@gmail. com or message on WhatsApp at +1 512 577 7957. He truly commits to aiding folks in regaining their assets. His help meant everything to me.
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24.09.25 12:22
beverlyalex010
In 2022, I lost 1.5 ETH in what I thought was a promising Twitter investment. I reached out to the so-called brokers behind it, but they vanished and stopped replying. For years, I carried the heavy belief that my crypto was gone forever. Then, by chance, I discovered RecoveryFundProvider [email protected] WhatsApp at +44 736-644-5035 through a finance podcast. That moment changed everything. Their team didn’t lure me in with false promises or flashy guarantees. Instead, they explained their process clearly specializing in advanced blockchain tracing, smart contract forensics, and even transaction reversal in certain cases. Skeptical but hopeful, I allowed them to review my case. What followed was beyond my expectations. They dug deep into the blockchain ledger, followed the coin’s complex movements across multiple addresses, and even collaborated with global nodes to trace every trail. Two weeks later, I received an alert I never thought I’d see again: my crypto had been fully recovered and safely transferred back to me. I cried tears of relief. What sets RecoveryFundProvider apart isn’t just their cutting-edge expertise, but their unwavering ethics and dedication. They treat every client like more than just another case number even years after a loss. Today, I can confidently say they live up to their name, and I’m endlessly grateful.
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24.09.25 15:50
michaeldavenport218
I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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24.09.25 15:50
michaeldavenport218
I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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24.09.25 15:50
michaeldavenport218
I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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24.09.25 19:08
Raymondkrisitina
Sylvester Bryant gets my full recommendation. He helped me get back €230,000 in Ethereum when I thought it was gone forever. His skills in tracking and retrieving scam-lost funds amaze me. I appreciated his steady, expert manner and strong tech know-how. That built my trust every step of the way. If a scam has taken your money, get in touch with him right away. Email him at yt7cracker@gmail. com or message on WhatsApp at +1 512 577 7957. He truly commits to aiding folks in regaining their assets. His help meant everything to me.
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24.09.25 19:50
Raymondkrisitina
Sylvester Bryant gets my full recommendation. He helped me get back €230,000 in Ethereum when I thought it was gone forever. His skills in tracking and retrieving scam-lost funds amaze me. I appreciated his steady, expert manner and strong tech know-how. That built my trust every step of the way. If a scam has taken your money, get in touch with him right away. Email him at yt7cracker@gmail. com or message on WhatsApp at +1 512 577 7957. He truly commits to aiding folks in regaining their assets. His help meant everything to me.
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24.09.25 19:55
Athea5130
ETHICAL BITCOIN HACKER/ BEST WAY RECOVERY BITCOIN I believed I was completely lost. I was unable to withdraw money from my investment wallet after making a dubious investment, and until I discovered Best Way Hacker Company, no one could assist me in unfreezing it. This group handled my matter with attention and urgency. In a matter of days, they were able to retrieve my frozen investment and transfer it to a new wallet that I owned. They restored my hope in a big way. Best Way Hacker restored my money and my peace of mind, and for that I will always be grateful. Email.. [email protected] WhatsApp..+39-(350)-967-(1925)
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24.09.25 19:56
Athea5130
ETHICAL BITCOIN HACKER/ BEST WAY RECOVERY BITCOIN I believed I was completely lost. I was unable to withdraw money from my investment wallet after making a dubious investment, and until I discovered Best Way Hacker Company, no one could assist me in unfreezing it. This group handled my matter with attention and urgency. In a matter of days, they were able to retrieve my frozen investment and transfer it to a new wallet that I owned. They restored my hope in a big way. Best Way Hacker restored my money and my peace of mind, and for that I will always be grateful. Email.. [email protected] WhatsApp..+39-(350)-967-(1925)
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24.09.25 19:56
Athea5130
ETHICAL BITCOIN HACKER/ BEST WAY RECOVERY BITCOIN I believed I was completely lost. I was unable to withdraw money from my investment wallet after making a dubious investment, and until I discovered Best Way Hacker Company, no one could assist me in unfreezing it. This group handled my matter with attention and urgency. In a matter of days, they were able to retrieve my frozen investment and transfer it to a new wallet that I owned. They restored my hope in a big way. Best Way Hacker restored my money and my peace of mind, and for that I will always be grateful. Email.. [email protected] WhatsApp..+39-(350)-967-(1925)
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24.09.25 19:56
Athea5130
ETHICAL BITCOIN HACKER/ BEST WAY RECOVERY BITCOIN I believed I was completely lost. I was unable to withdraw money from my investment wallet after making a dubious investment, and until I discovered Best Way Hacker Company, no one could assist me in unfreezing it. This group handled my matter with attention and urgency. In a matter of days, they were able to retrieve my frozen investment and transfer it to a new wallet that I owned. They restored my hope in a big way. Best Way Hacker restored my money and my peace of mind, and for that I will always be grateful. Email.. [email protected] WhatsApp..+39-(350)-967-(1925)
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24.09.25 20:52
elizabethrush89
God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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24.09.25 20:52
elizabethrush89
God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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26.09.25 12:29
beverlyalex010
In 2022, I lost 1.5 ETH in what I thought was a promising Twitter investment. I reached out to the so-called brokers behind it, but they vanished and stopped replying. For years, I carried the heavy belief that my crypto was gone forever. Then, by chance, I discovered RecoveryFundProvider (recoveryfundprovider @ gmail. com WhatsApp +44 736-644-5035) through a finance podcast. That moment changed everything. Their team didn’t lure me in with false promises or flashy guarantees. Instead, they explained their process clearly specializing in advanced blockchain tracing, smart contract forensics, and even transaction reversal in certain cases. Skeptical but hopeful, I allowed them to review my case. What followed was beyond my expectations. They dug deep into the blockchain ledger, followed the coin’s complex movements across multiple addresses, and even collaborated with global nodes to trace every trail. Two weeks later, I received an alert I never thought I’d see again: my crypto had been fully recovered and safely transferred back to me. I cried tears of relief. What sets RecoveryFundProvider apart isn’t just their cutting-edge expertise, but their unwavering ethics and dedication. They treat every client like more than just another case number even years after a loss. Today, I can confidently say they live up to their name, and i am endlessly grateful.
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26.09.25 15:42
elizabethrush89
God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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26.09.25 15:42
elizabethrush89
God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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26.09.25 16:40
Slimbella
I fully recommend Sylvester Bryant. He recovered €230,000 in Ethereum for me after I believed it was lost for good. His talent for tracing and reclaiming funds stolen by scammers impresses me deeply. I valued his calm, skilled approach and solid grasp of technology. This gained my confidence at every turn. If scammers have stolen your cash, contact him now. Reach out by email at yt7cracker@gmail. com or via WhatsApp at +1 512 577 7957. He dedicates himself to helping people recover their belongings. His support changed everything for me.
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26.09.25 16:40
Slimbella
I fully recommend Sylvester Bryant. He recovered €230,000 in Ethereum for me after I believed it was lost for good. His talent for tracing and reclaiming funds stolen by scammers impresses me deeply. I valued his calm, skilled approach and solid grasp of technology. This gained my confidence at every turn. If scammers have stolen your cash, contact him now. Reach out by email at yt7cracker@gmail. com or via WhatsApp at +1 512 577 7957. He dedicates himself to helping people recover their belongings. His support changed everything for me.
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26.09.25 19:08
beverlyalex010
In 2022, I lost 1.5 ETH in what I thought was a promising Twitter investment. I reached out to the so-called brokers behind it, but they vanished and stopped replying. For years, I carried the heavy belief that my crypto was gone forever. Then, by chance, I discovered RecoveryFundProvider ( [email protected]. WhatsApp +44 736-644-5035) through a finance podcast. That moment changed everything. Their team didn’t lure me in with false promises or flashy guarantees. Instead, they explained their process clearly specializing in advanced blockchain tracing, smart contract forensics, and even transaction reversal in certain cases. Skeptical but hopeful, I allowed them to review my case. What followed was beyond my expectations. They dug deep into the blockchain ledger, followed the coin’s complex movements across multiple addresses, and even collaborated with global nodes to trace every trail. Two weeks later, I received an alert I never thought I’d see again: my crypto had been fully recovered and safely transferred back to me. I cried tears of relief. What sets RecoveryFundProvider apart isn’t just their cutting-edge expertise, but their unwavering ethics and dedication. They treat every client like more than just another case number even years after a loss. Today, I can confidently say they live up to their name, and i am endlessly grateful.
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26.09.25 19:53
carolinehudso83
You are one step away from recovering your lost crypto funds. CAPITAL REDEMPTION WIZARD is the solution. Without them, I would have lost everything. I was scammed through a compromised email, lured by a fake Elon Musk Bitcoin investment. After applying and completing KYC, I was credited with 2.5 Bitcoin. When I tried to withdraw, I was hit with fees, and my wallet was emptied of $103,000.00. Their support team was hostile. I researched and found CAPITAL REDEMPTION WIZARD. They recovered my hacked Bitcoin. I learned the Bitcoin offer was a scam. CAPITAL REDEMPTION WIZARD guided me through this. Email: ( [email protected] ) Whats app or text +1 518 468 2985 Website https://bestrecoveryagent.com/
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26.09.25 22:25
Slimbella
I fully recommend Sylvester Bryant. He recovered €230,000 in Ethereum for me after I believed it was lost for good. His talent for tracing and reclaiming funds stolen by scammers impresses me deeply. I valued his calm, skilled approach and solid grasp of technology. This gained my confidence at every turn. If scammers have stolen your cash, contact him now. Reach out by email at yt7cracker@gmail. com or via WhatsApp at +1 512 577 7957. He dedicates himself to helping people recover their belongings. His support changed everything for me.
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26.09.25 22:59
elizabethrush89
God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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26.09.25 22:59
elizabethrush89
God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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27.09.25 03:07
Angela_Moore
I thought my money was lost forever. Then Mr. Sylvester stepped in. He tracked down and recovered $107,000 in stablecoins , plus all my earnings. His talent for finding scam-stolen funds left me stunned. I loved how he handled everything with real expertise and solid tech skills. It got my scammed cash back safe. I trusted him completely. If you've lost funds to a scam, reach out to him now. Email [email protected] or text on WhatsApp at +1 512 577 7957. His support saved me.
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28.09.25 00:42
Anitastar
Wizard Hilton Cyber Tech's strategic approach to Bitcoin recovery represents a mutually beneficial collaboration that offers valuable advantages for all involved. At the core of this innovative partnership is a shared commitment to leveraging cutting-edge technology and expertise to tackle the increasingly complex challenges of cryptocurrency theft and loss. By combining Wizard Hilton's world-class cybersecurity capabilities with the deep industry insights and recovery methodologies of Cyber Tech, this alliance is poised to revolutionize the way individuals and organizations safeguard their digital assets. Through a meticulous, multi-layered process, the team meticulously analyzes each case, employing advanced forensic techniques to trace the flow of stolen funds and identify potential recovery avenues. This rigorous approach not only maximizes the chances of successful Bitcoin retrieval, but also provides invaluable intelligence to enhance future security measures and prevention strategies. Importantly, the collaboration is built on a foundation of trust, transparency, and a genuine concern for the well-being of clients, ensuring that the recovery process is handled with the utmost care and discretion. As the cryptocurrency landscape continues to evolve, this strategic alliance between Wizard Hilton Cyber Tech stands as a shining example of how industry leaders can come together to safeguard digital assets, protect victims of cybercrime, and pave the way for a more secure and resilient cryptocurrency ecosystem. Email : wizardhiltoncybertech ( @ ) gmail (. ) com OR support ( @ ) wizardhiltoncybertech (.) com WhatsApp number +18737715701 Thanks.
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28.09.25 01:48
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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28.09.25 01:48
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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28.09.25 01:49
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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13:47
thomassankara
USDT recovery expert / company I thought my money was lost forever. Then Mr. Sylvester stepped in. He tracked down and recovered $107,000 in stablecoins , plus all my earnings. His talent for finding scam-stolen funds left me stunned. I loved how he handled everything with real expertise and solid tech skills. It got my scammed cash back safe. I trusted him completely. If you've lost funds to a scam, reach out to him now. Email [email protected] or text on WhatsApp at +1 512 577 7957. His support saved me.
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16:32
elizabethrush89
God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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16:32
elizabethrush89
God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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19:46
beverlyalex010
In 2022, I lost 1.5 ETH in what I thought was a promising Twitter investment. I reached out to the so-called brokers behind it, but they vanished and stopped replying. For years, I carried the heavy belief that my crypto was gone forever. Then, by chance, I discovered RecoveryFundProvider ( recoveryfundprovider@gmail. com WhatsApp +44 736-644-5035) through a finance podcast. That moment changed everything. Their team didn’t lure me in with false promises or flashy guarantees. Instead, they explained their process clearly specializing in advanced blockchain tracing, smart contract forensics, and even transaction reversal in certain cases. Skeptical but hopeful, I allowed them to review my case. What followed was beyond my expectations. They dug deep into the blockchain ledger, followed the coin’s complex movements across multiple addresses, and even collaborated with global nodes to trace every trail. Two weeks later, I received an alert I never thought I’d see again: my crypto had been fully recovered and safely transferred back to me. I cried tears of relief. What sets RecoveryFundProvider apart isn’t just their cutting-edge expertise, but their unwavering ethics and dedication. They treat every client like more than just another case number even years after a loss. Today, I can confidently say they live up to their name, and i am endlessly grateful.
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21:06
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
-
21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
-
21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
-
21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
-
21:07
beverlyalex010
I ended my marriage. My spouse was unfaithful. I found clear proof of her cheating. She hid her phone activity. Many secrets were on her phone. She used different apps. I hired a private investigator. I needed solid evidence first. I did not want to accuse her without proof. That could lead to legal trouble. They helped me access her phone. They linked her phone use to mine. I could then watch her phone without her knowing. This is how I learned about her affair. I also found out she planned to take my money. She intended to leave with her new partner. If you are in a similar situation, reach out to [email protected] WhatsApp at +44 736-644-5035. Get ahead of things.
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