From 10a036ca540277364db7f893a75c8ff1f56f847e Mon Sep 17 00:00:00 2001 From: dopeuni444 Date: Thu, 31 Jul 2025 06:15:08 +0400 Subject: [PATCH] hj7 --- .../src/core/CognitiveEnhancer.js | 479 ++++++++++++++++++ 1 file changed, 479 insertions(+) create mode 100644 AI_Agent_Builder_Framework/src/core/CognitiveEnhancer.js diff --git a/AI_Agent_Builder_Framework/src/core/CognitiveEnhancer.js b/AI_Agent_Builder_Framework/src/core/CognitiveEnhancer.js new file mode 100644 index 0000000..2a01db9 --- /dev/null +++ b/AI_Agent_Builder_Framework/src/core/CognitiveEnhancer.js @@ -0,0 +1,479 @@ +const Logger = require('../utils/Logger'); + +class CognitiveEnhancer { + constructor() { + this.logger = new Logger(); + this.enhancementHistory = new Map(); + this.cognitivePatterns = new Map(); + this.enhancementAlgorithms = new Map(); + this.initializeEnhancementAlgorithms(); + } + + initializeEnhancementAlgorithms() { + // Initialize various cognitive enhancement algorithms + this.enhancementAlgorithms.set('memory-enhancement', this.memoryEnhancement.bind(this)); + this.enhancementAlgorithms.set('attention-enhancement', this.attentionEnhancement.bind(this)); + this.enhancementAlgorithms.set('decision-enhancement', this.decisionEnhancement.bind(this)); + this.enhancementAlgorithms.set('creativity-enhancement', this.creativityEnhancement.bind(this)); + this.enhancementAlgorithms.set('learning-enhancement', this.learningEnhancement.bind(this)); + this.enhancementAlgorithms.set('adaptive-enhancement', this.adaptiveEnhancement.bind(this)); + + this.logger.info(`🧠 Cognitive enhancer initialized with ${this.enhancementAlgorithms.size} algorithms`); + } + + async enhanceCognition(agent, enhancementType = 'adaptive') { + try { + this.logger.info(`🧠 Starting cognitive enhancement with type: ${enhancementType}`); + + const enhancementResults = { + timestamp: new Date().toISOString(), + enhancementType, + agentId: agent.id, + originalCognition: agent.cognitivePatterns, + enhancedCognition: {}, + enhancementMetrics: {}, + improvementFactors: {} + }; + + // Apply cognitive enhancement algorithms + const enhancedCognition = await this.applyEnhancementAlgorithms(agent.cognitivePatterns, enhancementType); + const improvementFactors = this.calculateImprovementFactors(agent.cognitivePatterns, enhancedCognition); + + enhancementResults.enhancedCognition = enhancedCognition; + enhancementResults.improvementFactors = improvementFactors; + enhancementResults.enhancementMetrics = this.calculateEnhancementMetrics(enhancementResults); + + // Store enhancement history + this.storeEnhancementHistory(enhancementResults); + + this.logger.info(`🧠 Cognitive enhancement completed for agent ${agent.id}`); + return enhancedCognition; + } catch (error) { + this.logger.error('Failed to enhance cognition:', error); + throw error; + } + } + + async applyEnhancementAlgorithms(cognitivePatterns, enhancementType) { + const enhancedPatterns = { ...cognitivePatterns }; + + // Apply different enhancement algorithms based on type + if (enhancementType === 'adaptive') { + // Apply all enhancement algorithms with adaptive intensity + enhancedPatterns.memory = await this.memoryEnhancement(cognitivePatterns.memory, 'adaptive'); + enhancedPatterns.attention = await this.attentionEnhancement(cognitivePatterns.attention, 'adaptive'); + enhancedPatterns.decision = await this.decisionEnhancement(cognitivePatterns.decision, 'adaptive'); + enhancedPatterns.creativity = await this.creativityEnhancement(cognitivePatterns.creativity, 'adaptive'); + enhancedPatterns.learning = await this.learningEnhancement(cognitivePatterns.learning, 'adaptive'); + } else { + // Apply specific enhancement algorithm + const algorithm = this.enhancementAlgorithms.get(enhancementType); + if (algorithm) { + const enhancedPattern = await algorithm(cognitivePatterns[enhancementType.split('-')[0]], enhancementType); + enhancedPatterns[enhancementType.split('-')[0]] = enhancedPattern; + } + } + + return enhancedPatterns; + } + + async memoryEnhancement(memoryPattern, enhancementType = 'adaptive') { + const enhancementFactors = { + 'adaptive': 1.15, + 'memory-enhancement': 1.25, + 'default': 1.1 + }; + + const factor = enhancementFactors[enhancementType] || enhancementFactors.default; + + return { + ...memoryPattern, + capacity: Math.min(memoryPattern.capacity * factor, 100), + retrievalSpeed: Math.min(memoryPattern.retrievalSpeed * factor, 100), + consolidation: Math.min(memoryPattern.consolidation * factor, 100), + association: Math.min(memoryPattern.association * factor, 100), + patternRecognition: Math.min(memoryPattern.patternRecognition * factor, 100), + enhancementType: 'memory-enhancement' + }; + } + + async attentionEnhancement(attentionPattern, enhancementType = 'adaptive') { + const enhancementFactors = { + 'adaptive': 1.12, + 'attention-enhancement': 1.2, + 'default': 1.08 + }; + + const factor = enhancementFactors[enhancementType] || enhancementFactors.default; + + return { + ...attentionPattern, + focus: Math.min(attentionPattern.focus * factor, 100), + selectivity: Math.min(attentionPattern.selectivity * factor, 100), + sustainedAttention: Math.min(attentionPattern.sustainedAttention * factor, 100), + dividedAttention: Math.min(attentionPattern.dividedAttention * factor, 100), + switching: Math.min(attentionPattern.switching * factor, 100), + enhancementType: 'attention-enhancement' + }; + } + + async decisionEnhancement(decisionPattern, enhancementType = 'adaptive') { + const enhancementFactors = { + 'adaptive': 1.18, + 'decision-enhancement': 1.3, + 'default': 1.1 + }; + + const factor = enhancementFactors[enhancementType] || enhancementFactors.default; + + return { + ...decisionPattern, + speed: Math.min(decisionPattern.speed * factor, 100), + accuracy: Math.min(decisionPattern.accuracy * factor, 100), + flexibility: Math.min(decisionPattern.flexibility * factor, 100), + riskAssessment: Math.min(decisionPattern.riskAssessment * factor, 100), + problemSolving: Math.min(decisionPattern.problemSolving * factor, 100), + enhancementType: 'decision-enhancement' + }; + } + + async creativityEnhancement(creativityPattern, enhancementType = 'adaptive') { + const enhancementFactors = { + 'adaptive': 1.2, + 'creativity-enhancement': 1.35, + 'default': 1.15 + }; + + const factor = enhancementFactors[enhancementType] || enhancementFactors.default; + + return { + ...creativityPattern, + divergentThinking: Math.min(creativityPattern.divergentThinking * factor, 100), + convergentThinking: Math.min(creativityPattern.convergentThinking * factor, 100), + originality: Math.min(creativityPattern.originality * factor, 100), + fluency: Math.min(creativityPattern.fluency * factor, 100), + flexibility: Math.min(creativityPattern.flexibility * factor, 100), + enhancementType: 'creativity-enhancement' + }; + } + + async learningEnhancement(learningPattern, enhancementType = 'adaptive') { + const enhancementFactors = { + 'adaptive': 1.16, + 'learning-enhancement': 1.28, + 'default': 1.12 + }; + + const factor = enhancementFactors[enhancementType] || enhancementFactors.default; + + return { + ...learningPattern, + rate: Math.min(learningPattern.rate * factor, 100), + retention: Math.min(learningPattern.retention * factor, 100), + transfer: Math.min(learningPattern.transfer * factor, 100), + metaLearning: Math.min(learningPattern.metaLearning * factor, 100), + adaptation: Math.min(learningPattern.adaptation * factor, 100), + enhancementType: 'learning-enhancement' + }; + } + + async adaptiveEnhancement(adaptivePattern, enhancementType = 'adaptive') { + const enhancementFactors = { + 'adaptive': 1.14, + 'adaptive-enhancement': 1.22, + 'default': 1.1 + }; + + const factor = enhancementFactors[enhancementType] || enhancementFactors.default; + + return { + ...adaptivePattern, + flexibility: Math.min(adaptivePattern.flexibility * factor, 100), + resilience: Math.min(adaptivePattern.resilience * factor, 100), + learningSpeed: Math.min(adaptivePattern.learningSpeed * factor, 100), + environmentalAdaptation: Math.min(adaptivePattern.environmentalAdaptation * factor, 100), + behavioralAdjustment: Math.min(adaptivePattern.behavioralAdjustment * factor, 100), + enhancementType: 'adaptive-enhancement' + }; + } + + calculateImprovementFactors(originalCognition, enhancedCognition) { + const factors = {}; + + for (const [patternType, enhancedPattern] of Object.entries(enhancedCognition)) { + if (originalCognition[patternType]) { + const originalPattern = originalCognition[patternType]; + factors[patternType] = {}; + + for (const [metric, enhancedValue] of Object.entries(enhancedPattern)) { + if (typeof enhancedValue === 'number' && typeof originalPattern[metric] === 'number') { + factors[patternType][metric] = enhancedValue / originalPattern[metric]; + } + } + } + } + + return factors; + } + + calculateEnhancementMetrics(enhancementResults) { + const metrics = { + overallImprovement: 0, + patternImprovements: {}, + enhancementSuccess: 0, + enhancementEfficiency: 0 + }; + + let totalImprovement = 0; + let improvementCount = 0; + + for (const [patternType, factors] of Object.entries(enhancementResults.improvementFactors)) { + const patternImprovement = Object.values(factors).reduce((sum, factor) => sum + factor, 0) / Object.keys(factors).length; + metrics.patternImprovements[patternType] = patternImprovement; + totalImprovement += patternImprovement; + improvementCount++; + } + + if (improvementCount > 0) { + metrics.overallImprovement = totalImprovement / improvementCount; + metrics.enhancementSuccess = improvementCount / Object.keys(enhancementResults.improvementFactors).length; + metrics.enhancementEfficiency = metrics.overallImprovement / enhancementResults.enhancementType.length; + } + + return metrics; + } + + storeEnhancementHistory(enhancementResults) { + const historyKey = `${enhancementResults.agentId}-${enhancementResults.enhancementType}-${Date.now()}`; + this.enhancementHistory.set(historyKey, enhancementResults); + + // Keep only last 100 enhancement histories + if (this.enhancementHistory.size > 100) { + const keys = Array.from(this.enhancementHistory.keys()); + const oldestKey = keys[0]; + this.enhancementHistory.delete(oldestKey); + } + } + + async enhanceCognitivePatterns(cognitivePatterns, enhancementType = 'adaptive') { + try { + this.logger.info(`🧠 Enhancing cognitive patterns with type: ${enhancementType}`); + + const enhancedPatterns = await this.applyEnhancementAlgorithms(cognitivePatterns, enhancementType); + const improvementFactors = this.calculateImprovementFactors(cognitivePatterns, enhancedPatterns); + + const enhancementResult = { + timestamp: new Date().toISOString(), + enhancementType, + originalPatterns: cognitivePatterns, + enhancedPatterns, + improvementFactors, + metrics: this.calculateEnhancementMetrics({ + enhancementType, + improvementFactors + }) + }; + + this.storeEnhancementHistory(enhancementResult); + + this.logger.info(`🧠 Cognitive patterns enhanced successfully`); + return enhancedPatterns; + } catch (error) { + this.logger.error('Failed to enhance cognitive patterns:', error); + throw error; + } + } + + async enhanceBasedOnPerformance(agentId, performanceData) { + try { + this.logger.info(`🧠 Enhancing cognition based on performance for agent ${agentId}`); + + // Analyze performance patterns to determine enhancement strategy + const enhancementStrategy = this.determineEnhancementStrategy(performanceData); + + // Get current cognitive patterns for the agent + const currentPatterns = this.cognitivePatterns.get(agentId) || this.getDefaultCognitivePatterns(); + + // Apply performance-based enhancement + const enhancedPatterns = await this.applyPerformanceBasedEnhancement(currentPatterns, enhancementStrategy); + + // Store enhanced patterns + this.cognitivePatterns.set(agentId, enhancedPatterns); + + this.logger.info(`🧠 Performance-based cognitive enhancement completed for agent ${agentId}`); + return enhancedPatterns; + } catch (error) { + this.logger.error('Failed to enhance based on performance:', error); + throw error; + } + } + + determineEnhancementStrategy(performanceData) { + const strategy = { + type: 'adaptive', + focus: [], + intensity: 'medium' + }; + + // Analyze performance data to determine enhancement focus + if (performanceData.responseTime > 1000) { + strategy.focus.push('decision-enhancement'); + strategy.intensity = 'high'; + } + + if (performanceData.accuracy < 0.8) { + strategy.focus.push('attention-enhancement'); + strategy.focus.push('decision-enhancement'); + } + + if (performanceData.efficiency < 0.7) { + strategy.focus.push('learning-enhancement'); + strategy.focus.push('adaptive-enhancement'); + } + + if (performanceData.adaptation < 0.6) { + strategy.focus.push('adaptive-enhancement'); + strategy.focus.push('learning-enhancement'); + } + + if (strategy.focus.length === 0) { + strategy.focus.push('memory-enhancement'); + strategy.intensity = 'low'; + } + + return strategy; + } + + async applyPerformanceBasedEnhancement(cognitivePatterns, strategy) { + const enhancedPatterns = { ...cognitivePatterns }; + + for (const focus of strategy.focus) { + const enhancementType = `${focus}-enhancement`; + const algorithm = this.enhancementAlgorithms.get(enhancementType); + + if (algorithm) { + const patternKey = focus.split('-')[0]; + if (enhancedPatterns[patternKey]) { + enhancedPatterns[patternKey] = await algorithm(enhancedPatterns[patternKey], strategy.intensity); + } + } + } + + return enhancedPatterns; + } + + getDefaultCognitivePatterns() { + return { + memory: { + capacity: 70, + retrievalSpeed: 75, + consolidation: 65, + association: 80, + patternRecognition: 85 + }, + attention: { + focus: 75, + selectivity: 70, + sustainedAttention: 80, + dividedAttention: 65, + switching: 70 + }, + decision: { + speed: 75, + accuracy: 80, + flexibility: 70, + riskAssessment: 75, + problemSolving: 80 + }, + creativity: { + divergentThinking: 70, + convergentThinking: 75, + originality: 65, + fluency: 80, + flexibility: 75 + }, + learning: { + rate: 75, + retention: 80, + transfer: 70, + metaLearning: 65, + adaptation: 75 + }, + adaptive: { + flexibility: 75, + resilience: 80, + learningSpeed: 75, + environmentalAdaptation: 70, + behavioralAdjustment: 75 + } + }; + } + + async getEnhancementHistory(agentId, timeRange = '30d') { + try { + const history = Array.from(this.enhancementHistory.values()) + .filter(result => result.agentId === agentId) + .filter(result => this.isWithinTimeRange(result.timestamp, timeRange)); + + return history; + } catch (error) { + this.logger.error('Failed to get enhancement history:', error); + throw error; + } + } + + isWithinTimeRange(timestamp, timeRange) { + const now = new Date(); + const targetTime = new Date(timestamp); + const timeRanges = { + '1h': 60 * 60 * 1000, + '6h': 6 * 60 * 60 * 1000, + '24h': 24 * 60 * 60 * 1000, + '7d': 7 * 24 * 60 * 60 * 1000, + '30d': 30 * 24 * 60 * 60 * 1000 + }; + + const rangeMs = timeRanges[timeRange] || timeRanges['30d']; + return (now.getTime() - targetTime.getTime()) <= rangeMs; + } + + async exportEnhancementData(agentId, format = 'json') { + try { + const history = await this.getEnhancementHistory(agentId); + const cognitivePatterns = this.cognitivePatterns.get(agentId); + + const exportData = { + agentId, + cognitivePatterns, + enhancementHistory: history, + exportTimestamp: new Date().toISOString() + }; + + if (format === 'json') { + return JSON.stringify(exportData, null, 2); + } else if (format === 'csv') { + return this.convertToCSV(exportData); + } else { + throw new Error(`Unsupported format: ${format}`); + } + } catch (error) { + this.logger.error('Failed to export enhancement data:', error); + throw error; + } + } + + convertToCSV(exportData) { + const headers = ['timestamp', 'enhancementType', 'overallImprovement', 'enhancementSuccess']; + const rows = exportData.enhancementHistory.map(entry => [ + entry.timestamp, + entry.enhancementType, + entry.metrics.overallImprovement, + entry.metrics.enhancementSuccess + ]); + + const csvContent = [headers.join(','), ...rows.map(row => row.join(','))].join('\n'); + return csvContent; + } +} + +module.exports = CognitiveEnhancer; \ No newline at end of file