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AI_Agent_Builder_Framework/src/core/CognitiveEnhancer.js

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+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;