Phase 60 — 信誉优化器系统设计

版本: v2.0.0 创建日期: 2026-02-28 状态: ✅ 已实现 (v2.0.0)

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一、模块概述

Phase 60 引入信誉优化器，使用贝叶斯优化和异常检测技术优化信誉算法参数，提升信誉系统的准确性和抗攻击能力。

1.1 核心功能

• 贝叶斯优化: 自动优化信誉算法参数
• 异常检测: 统计学 + 机器学习双重检测
• 信誉衰减: 时间衰减、活跃度衰减
• 博弈论防作弊: 串通检测、刷分防御

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二、核心模块设计

2.1 Reputation Optimizer

文件: desktop-app-vue/src/main/ai-engine/cowork/reputation-optimizer.js

优化目标:

const OPTIMIZATION_OBJECTIVES = {
  ACCURACY: "accuracy", // 准确性
  FAIRNESS: "fairness", // 公平性
  RESILIENCE: "resilience", // 抗攻击性
  CONVERGENCE_SPEED: "convergence_speed", // 收敛速度
};

异常检测方法:

const ANOMALY_DETECTORS = {
  IQR: "iqr", // 四分位距法
  ISOLATION_FOREST: "isolation_forest", // 孤立森林
  Z_SCORE: "z_score", // Z分数法
  LOF: "lof", // 局部异常因子
};

API方法:

class ReputationOptimizer {
  // 启动优化
  async startOptimization(objective, iterations = 100) {}

  // 获取优化状态
  async getOptimizationStatus(runId) {}

  // 获取分析报告
  async getAnalytics(runId) {}

  // 检测异常
  async detectAnomalies(method = "isolation_forest") {}

  // 应用优化结果
  async applyOptimizedParams(runId) {}
}

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三、衰减模型

3.1 时间衰减

// 指数衰减
reputation_t = (reputation_0 * e) ^ -λt;

// 线性衰减
reputation_t = reputation_0 * (1 - αt);

// 阶梯衰减
reputation_t = reputation_0 * step(t, thresholds);

3.2 活跃度衰减

// 活跃度系数
activity_factor = days_active / total_days;

// 衰减后信誉
final_reputation = base_reputation * activity_factor;

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四、数据库设计

CREATE TABLE IF NOT EXISTS reputation_optimization_runs (
  run_id TEXT PRIMARY KEY,
  objective TEXT NOT NULL,
  iterations INTEGER NOT NULL,
  param_space TEXT NOT NULL,
  best_params TEXT,
  best_score REAL,
  status TEXT DEFAULT 'running',
  created_at INTEGER NOT NULL,
  completed_at INTEGER
);

CREATE TABLE IF NOT EXISTS reputation_analytics (
  analytics_id TEXT PRIMARY KEY,
  run_id TEXT NOT NULL,
  reputation_distribution TEXT,
  anomalies TEXT,
  recommendations TEXT,
  created_at INTEGER NOT NULL,
  FOREIGN KEY (run_id) REFERENCES reputation_optimization_runs(run_id)
);

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五、IPC 接口 (4个)

const CHANNELS = [
  "reputation-optimizer:start-optimization",
  "reputation-optimizer:get-optimization-status",
  "reputation-optimizer:get-analytics",
  "reputation-optimizer:get-anomalies",
];

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六、配置管理

reputationOptimizer: {
  enabled: true,
  bayesianOptimization: {
    iterations: 100,
    acquisitionFunction: 'ucb', // upper confidence bound
    kappa: 2.576, // 99% confidence
  },
  anomalyDetection: {
    method: 'isolation_forest',
    contamination: 0.05, // 5%异常率
    threshold: 0.5,
  },
  decayModel: {
    type: 'exponential', // exponential/linear/step
    lambda: 0.1, // 衰减系数
  },
}

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相关文档:

• Phase 59 — 压力测试系统
• Phase 61 — SLA管理系统
• Cowork 信誉系统