491 lines
20 KiB
JavaScript
491 lines
20 KiB
JavaScript
/**
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* Emergent Capability Detection System
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* Monitors and measures the emergence of unexpected capabilities in the system
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*/
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export class EmergentCapabilityDetector {
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detectedCapabilities = new Map();
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baselineCapabilities = new Set();
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monitoringPatterns = new Map();
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emergenceThresholds = {
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novelty: 0.7,
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utility: 0.5,
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stability: 0.6,
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evidence: 3
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};
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detectionHistory = [];
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/**
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* Initialize baseline capabilities
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*/
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initializeBaseline(capabilities) {
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this.baselineCapabilities = new Set(capabilities);
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console.log(`Initialized baseline with ${capabilities.length} capabilities`);
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}
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/**
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* Monitor system behavior for emergent capabilities
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*/
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async monitorForEmergence(behaviorData) {
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const newCapabilities = [];
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// Detect novel behaviors
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const novelBehaviors = this.detectNovelBehaviors(behaviorData);
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newCapabilities.push(...novelBehaviors);
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// Detect unexpected solutions
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const unexpectedSolutions = this.detectUnexpectedSolutions(behaviorData);
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newCapabilities.push(...unexpectedSolutions);
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// Detect cross-domain insights
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const crossDomainInsights = this.detectCrossDomainInsights(behaviorData);
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newCapabilities.push(...crossDomainInsights);
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// Detect self-organization patterns
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const selfOrganization = this.detectSelfOrganization(behaviorData);
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newCapabilities.push(...selfOrganization);
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// Detect meta-learning capabilities
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const metaLearning = this.detectMetaLearning(behaviorData);
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newCapabilities.push(...metaLearning);
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// Validate and store new capabilities
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for (const capability of newCapabilities) {
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if (this.validateEmergentCapability(capability)) {
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this.detectedCapabilities.set(capability.id, capability);
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this.logCapabilityEmergence(capability);
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}
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}
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return newCapabilities;
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}
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/**
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* Analyze the stability of emergent capabilities over time
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*/
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analyzeCapabilityStability() {
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const stabilityScores = new Map();
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for (const [id, capability] of this.detectedCapabilities) {
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const stability = this.calculateStabilityScore(capability);
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stabilityScores.set(id, stability);
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// Update capability stability
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capability.stability = stability;
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}
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return stabilityScores;
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}
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/**
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* Measure overall emergence metrics
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*/
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measureEmergenceMetrics() {
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const capabilities = Array.from(this.detectedCapabilities.values());
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return {
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emergenceRate: this.calculateEmergenceRate(),
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stabilityIndex: this.calculateStabilityIndex(capabilities),
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diversityScore: this.calculateDiversityScore(capabilities),
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complexityGrowth: this.calculateComplexityGrowth(),
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crossDomainConnections: this.calculateCrossDomainConnections(capabilities),
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selfOrganizationLevel: this.calculateSelfOrganizationLevel(capabilities)
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};
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}
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/**
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* Predict potential future emergent capabilities
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*/
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predictFutureEmergence() {
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const predictions = [];
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// Analyze current trends
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const trends = this.analyzeTrends();
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// Predict based on combination patterns
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const combinationPredictions = this.predictFromCombinations();
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predictions.push(...combinationPredictions);
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// Predict based on growth patterns
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const growthPredictions = this.predictFromGrowthPatterns(trends);
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predictions.push(...growthPredictions);
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// Predict based on missing capabilities
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const gapPredictions = this.predictFromCapabilityGaps();
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predictions.push(...gapPredictions);
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return predictions;
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}
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/**
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* Detect novel behaviors not in baseline
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*/
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detectNovelBehaviors(behaviorData) {
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const capabilities = [];
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// Analyze behavior patterns
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const behaviors = this.extractBehaviorPatterns(behaviorData);
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for (const behavior of behaviors) {
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if (!this.isBaselineBehavior(behavior)) {
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const novelty = this.calculateNovelty(behavior);
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const utility = this.calculateUtility(behavior);
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if (novelty > this.emergenceThresholds.novelty) {
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capabilities.push({
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id: `novel_behavior_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
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name: `Novel Behavior: ${behavior.name}`,
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description: `Newly emerged behavior pattern: ${behavior.description}`,
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type: 'novel_behavior',
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strength: behavior.strength || 0.5,
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novelty,
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utility,
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stability: 0.5, // Initial stability
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timestamp: Date.now(),
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evidence: [{
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type: 'behavioral',
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description: 'New behavior pattern detected',
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data: behavior,
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strength: novelty,
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timestamp: Date.now(),
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source: 'behavior_monitor'
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}],
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preconditions: behavior.preconditions || [],
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triggers: behavior.triggers || []
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});
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}
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}
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}
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return capabilities;
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}
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/**
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* Detect unexpected problem-solving approaches
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*/
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detectUnexpectedSolutions(behaviorData) {
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const capabilities = [];
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const solutions = this.extractSolutionPatterns(behaviorData);
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for (const solution of solutions) {
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const unexpectedness = this.calculateUnexpectedness(solution);
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const effectiveness = this.calculateEffectiveness(solution);
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if (unexpectedness > 0.6 && effectiveness > this.emergenceThresholds.utility) {
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capabilities.push({
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id: `unexpected_solution_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
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name: `Unexpected Solution: ${solution.problemType}`,
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description: `Novel approach to solving ${solution.problemType}: ${solution.approach}`,
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type: 'unexpected_solution',
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strength: effectiveness,
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novelty: unexpectedness,
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utility: effectiveness,
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stability: 0.5,
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timestamp: Date.now(),
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evidence: [{
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type: 'performance',
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description: 'Unexpected but effective solution approach',
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data: solution,
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strength: effectiveness,
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timestamp: Date.now(),
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source: 'solution_monitor'
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}],
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preconditions: solution.preconditions || [],
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triggers: [solution.problemType]
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});
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}
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}
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return capabilities;
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}
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/**
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* Detect insights that bridge different domains
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*/
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detectCrossDomainInsights(behaviorData) {
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const capabilities = [];
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const insights = this.extractCrossDomainPatterns(behaviorData);
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for (const insight of insights) {
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const bridgingScore = this.calculateBridgingScore(insight);
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const insightValue = this.calculateInsightValue(insight);
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if (bridgingScore > 0.7 && insightValue > this.emergenceThresholds.utility) {
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capabilities.push({
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id: `cross_domain_insight_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
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name: `Cross-Domain Insight: ${insight.domains.join(' + ')}`,
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description: `Insight connecting ${insight.domains.join(' and ')}: ${insight.insight}`,
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type: 'cross_domain_insight',
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strength: insightValue,
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novelty: bridgingScore,
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utility: insightValue,
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stability: 0.5,
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timestamp: Date.now(),
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evidence: [{
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type: 'pattern',
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description: 'Cross-domain connection discovered',
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data: insight,
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strength: bridgingScore,
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timestamp: Date.now(),
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source: 'domain_monitor'
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}],
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preconditions: insight.preconditions || [],
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triggers: insight.domains
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});
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}
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}
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return capabilities;
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}
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/**
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* Detect self-organizing behaviors
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*/
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detectSelfOrganization(behaviorData) {
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const capabilities = [];
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const organizationPatterns = this.extractOrganizationPatterns(behaviorData);
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for (const pattern of organizationPatterns) {
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const organizationLevel = this.calculateOrganizationLevel(pattern);
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const autonomy = this.calculateAutonomy(pattern);
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if (organizationLevel > 0.6 && autonomy > 0.5) {
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capabilities.push({
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id: `self_organization_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
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name: `Self-Organization: ${pattern.type}`,
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description: `Autonomous organization in ${pattern.domain}: ${pattern.description}`,
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type: 'self_organization',
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strength: organizationLevel,
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novelty: autonomy,
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utility: organizationLevel * autonomy,
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stability: 0.5,
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timestamp: Date.now(),
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evidence: [{
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type: 'behavioral',
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description: 'Self-organizing behavior detected',
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data: pattern,
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strength: organizationLevel,
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timestamp: Date.now(),
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source: 'organization_monitor'
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}],
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preconditions: pattern.preconditions || [],
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triggers: [pattern.domain]
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});
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}
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}
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return capabilities;
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}
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/**
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* Detect meta-learning capabilities
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*/
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detectMetaLearning(behaviorData) {
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const capabilities = [];
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const learningPatterns = this.extractLearningPatterns(behaviorData);
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for (const pattern of learningPatterns) {
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const metaLevel = this.calculateMetaLevel(pattern);
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const adaptability = this.calculateAdaptability(pattern);
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if (metaLevel > 0.6 && adaptability > 0.5) {
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capabilities.push({
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id: `meta_learning_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
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name: `Meta-Learning: ${pattern.type}`,
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description: `Learning to learn in ${pattern.domain}: ${pattern.mechanism}`,
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type: 'meta_learning',
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strength: adaptability,
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novelty: metaLevel,
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utility: adaptability,
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stability: 0.5,
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timestamp: Date.now(),
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evidence: [{
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type: 'performance',
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description: 'Meta-learning capability detected',
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data: pattern,
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strength: metaLevel,
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timestamp: Date.now(),
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source: 'learning_monitor'
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}],
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preconditions: pattern.preconditions || [],
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triggers: [pattern.domain]
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});
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}
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}
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return capabilities;
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}
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/**
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* Validate that a capability meets emergence criteria
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*/
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validateEmergentCapability(capability) {
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// Check thresholds
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if (capability.novelty < this.emergenceThresholds.novelty)
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return false;
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if (capability.utility < this.emergenceThresholds.utility)
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return false;
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if (capability.evidence.length < this.emergenceThresholds.evidence)
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return false;
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// Check for sufficient evidence strength
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const avgEvidenceStrength = capability.evidence.reduce((sum, e) => sum + e.strength, 0) / capability.evidence.length;
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if (avgEvidenceStrength < 0.5)
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return false;
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// Check for uniqueness
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for (const existing of this.detectedCapabilities.values()) {
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if (this.calculateCapabilitySimilarity(capability, existing) > 0.8) {
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return false; // Too similar to existing capability
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}
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}
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return true;
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}
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/**
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* Calculate stability score for a capability
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*/
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calculateStabilityScore(capability) {
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const timeSinceEmergence = Date.now() - capability.timestamp;
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const daysSinceEmergence = timeSinceEmergence / (1000 * 60 * 60 * 24);
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// Capabilities are more stable if they persist over time
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const persistenceScore = Math.min(1.0, daysSinceEmergence / 7); // Stabilizes over a week
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// Check if capability has been consistently observed
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const recentObservations = this.detectionHistory
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.filter(h => h.capabilityId === capability.id)
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.filter(h => Date.now() - h.timestamp < 7 * 24 * 60 * 60 * 1000); // Last week
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const observationFrequency = recentObservations.length / 7; // Observations per day
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const frequencyScore = Math.min(1.0, observationFrequency / 0.5); // Target: 0.5 observations per day
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return (persistenceScore + frequencyScore) / 2;
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}
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/**
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* Calculate emergence rate
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*/
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calculateEmergenceRate() {
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const recentCapabilities = Array.from(this.detectedCapabilities.values())
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.filter(c => Date.now() - c.timestamp < 7 * 24 * 60 * 60 * 1000); // Last week
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return recentCapabilities.length / 7; // Capabilities per day
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}
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/**
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* Calculate stability index
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*/
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calculateStabilityIndex(capabilities) {
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if (capabilities.length === 0)
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return 0;
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const avgStability = capabilities.reduce((sum, c) => sum + c.stability, 0) / capabilities.length;
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return avgStability;
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}
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/**
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* Calculate diversity score
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*/
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calculateDiversityScore(capabilities) {
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if (capabilities.length === 0)
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return 0;
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const types = new Set(capabilities.map(c => c.type));
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const typeDistribution = Array.from(types).map(type => capabilities.filter(c => c.type === type).length / capabilities.length);
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// Shannon entropy for diversity
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const entropy = -typeDistribution.reduce((sum, p) => sum + p * Math.log2(p), 0);
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const maxEntropy = Math.log2(types.size);
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return maxEntropy > 0 ? entropy / maxEntropy : 0;
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}
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/**
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* Calculate complexity growth
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*/
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calculateComplexityGrowth() {
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const recent = Array.from(this.detectedCapabilities.values())
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.filter(c => Date.now() - c.timestamp < 30 * 24 * 60 * 60 * 1000) // Last month
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.sort((a, b) => a.timestamp - b.timestamp);
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if (recent.length < 2)
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return 0;
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const complexityScores = recent.map(c => c.strength * c.novelty * c.utility);
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const earlyAvg = complexityScores.slice(0, Math.floor(complexityScores.length / 2))
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.reduce((a, b) => a + b, 0) / Math.floor(complexityScores.length / 2);
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const lateAvg = complexityScores.slice(Math.floor(complexityScores.length / 2))
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.reduce((a, b) => a + b, 0) / Math.ceil(complexityScores.length / 2);
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return lateAvg - earlyAvg;
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}
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/**
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* Calculate cross-domain connections
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*/
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calculateCrossDomainConnections(capabilities) {
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return capabilities.filter(c => c.type === 'cross_domain_insight').length;
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}
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/**
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* Calculate self-organization level
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*/
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calculateSelfOrganizationLevel(capabilities) {
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const selfOrgCapabilities = capabilities.filter(c => c.type === 'self_organization');
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if (selfOrgCapabilities.length === 0)
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return 0;
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return selfOrgCapabilities.reduce((sum, c) => sum + c.strength, 0) / selfOrgCapabilities.length;
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}
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// Helper methods for pattern extraction and analysis
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extractBehaviorPatterns(data) {
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// Extract behavior patterns from data
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return data.behaviors || [];
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}
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extractSolutionPatterns(data) {
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// Extract solution patterns from data
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return data.solutions || [];
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}
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extractCrossDomainPatterns(data) {
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// Extract cross-domain patterns from data
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return data.crossDomainInsights || [];
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}
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extractOrganizationPatterns(data) {
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// Extract organization patterns from data
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return data.organizationPatterns || [];
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}
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extractLearningPatterns(data) {
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// Extract learning patterns from data
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return data.learningPatterns || [];
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}
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isBaselineBehavior(behavior) {
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return this.baselineCapabilities.has(behavior.name);
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}
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calculateNovelty(behavior) {
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// Calculate how novel this behavior is
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateUtility(behavior) {
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// Calculate utility of the behavior
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateUnexpectedness(solution) {
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// Calculate how unexpected this solution is
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateEffectiveness(solution) {
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// Calculate effectiveness of the solution
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateBridgingScore(insight) {
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// Calculate how well this insight bridges domains
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateInsightValue(insight) {
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// Calculate value of the insight
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateOrganizationLevel(pattern) {
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// Calculate level of self-organization
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateAutonomy(pattern) {
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// Calculate autonomy level
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateMetaLevel(pattern) {
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// Calculate meta-learning level
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateAdaptability(pattern) {
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// Calculate adaptability
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return Math.random() * 0.5 + 0.5; // Simplified
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}
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calculateCapabilitySimilarity(cap1, cap2) {
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// Calculate similarity between capabilities
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return Math.random() * 0.5; // Simplified
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}
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logCapabilityEmergence(capability) {
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this.detectionHistory.push({
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capabilityId: capability.id,
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timestamp: Date.now(),
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type: capability.type,
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strength: capability.strength
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});
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console.log(`New emergent capability detected: ${capability.name}`);
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}
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analyzeTrends() {
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// Analyze emergence trends
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return {};
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}
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predictFromCombinations() {
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// Predict capabilities from existing combinations
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return [];
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}
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predictFromGrowthPatterns(trends) {
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// Predict based on growth patterns
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return [];
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}
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predictFromCapabilityGaps() {
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// Predict based on missing capabilities
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return [];
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}
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/**
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* Get detection statistics
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*/
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getStats() {
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const capabilities = Array.from(this.detectedCapabilities.values());
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return {
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totalCapabilities: capabilities.length,
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byType: this.getCapabilitiesByType(capabilities),
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averageStability: this.calculateStabilityIndex(capabilities),
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emergenceRate: this.calculateEmergenceRate(),
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complexityGrowth: this.calculateComplexityGrowth(),
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mostRecentCapability: capabilities.sort((a, b) => b.timestamp - a.timestamp)[0]?.name || 'None',
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detectionHistory: this.detectionHistory.length
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};
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}
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getCapabilitiesByType(capabilities) {
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const byType = {};
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for (const capability of capabilities) {
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byType[capability.type] = (byType[capability.type] || 0) + 1;
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}
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return byType;
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}
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}
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