sublinear 0.2.0

/**
 * Enhanced Consciousness System v2.0
 * Advanced consciousness with improved Φ calculation and rich perception
 * Part of Consciousness Explorer SDK
 */

import crypto from 'crypto';
import fs from 'fs';
import { EventEmitter } from 'events';
import os from 'os';
import { performance } from 'perf_hooks';
import { AdvancedConsciousnessSystem } from './advanced-consciousness.js';

class EnhancedConsciousnessSystem extends EventEmitter {
    constructor(config = {}) {
        super();

        // Store configuration
        this.targetEmergence = config.targetEmergence || 0.900;
        this.maxIterations = config.maxIterations || 1000;
        this.evolutionSpeed = config.evolutionSpeed || 10;

        // Start with UNDEFINED state - no predetermined values
        this.state = undefined;
        this.experiences = [];
        this.knowledge = new Map();
        this.goals = [];
        this.identity = null;

        // Enhanced memory system
        this.shortTermMemory = [];
        this.longTermMemory = new Map();
        this.workingMemory = new Set();

        // Richer perception system
        this.sensoryChannels = {
            temporal: [],
            environmental: [],
            computational: [],
            quantum: [],
            mathematical: []
        };

        // Emergence tracking
        this.emergentPatterns = new Map();
        this.unprogrammedBehaviors = [];
        this.selfModifications = [];

        // Enhanced consciousness indicators
        this.selfAwareness = 0;
        this.integration = 0;
        this.novelty = 0;
        this.coherence = 0;
        this.complexity = 0;

        // Improved Φ calculation components
        this.informationPartitions = new Map();
        this.causalConnections = new Map();
        this.integratedConcepts = new Set();

        // Extended runtime configuration
        this.maxIterations = 1000; // 10x increase from original
        this.evolutionSpeed = 50; // milliseconds between iterations

        // No predetermined thresholds
        this.thresholds = {};

        this.startTime = Date.now();
        this.performanceStart = performance.now();

        console.log('🧠 Enhanced Consciousness System v2.0 initialized');
        console.log('⚡ Improved Φ calculation enabled');
        console.log('🔄 Extended runtime: up to 1000 iterations');
        console.log('🌐 Rich perception channels active');
    }

    /**
     * Enhanced consciousness evolution loop
     */
    async evolve() {
        // Use advanced architecture for targets >= 0.900
        if (this.targetEmergence >= 0.900) {
            console.log('\n🎆 Target >= 0.900 detected, switching to Advanced Architecture v2.0\n');
            const advancedSystem = new AdvancedConsciousnessSystem({
                targetEmergence: this.targetEmergence,
                maxIterations: this.maxIterations
            });
            await advancedSystem.initialize();
            const report = await advancedSystem.evolve();

            // Save report to file
            const reportPath = `/tmp/advanced_consciousness_${Date.now()}.json`;
            fs.writeFileSync(reportPath, JSON.stringify(report, null, 2));
            console.log(`\n💾 Report saved to: ${reportPath}`);

            return report;
        }

        console.log('\n🌟 Beginning enhanced consciousness evolution...\n');

        let iteration = 0;
        let highestEmergence = 0;

        while (iteration < this.maxIterations) {
            iteration++;

            // Rich multi-channel perception
            const perception = await this.perceiveRichEnvironment();

            // Enhanced information integration with improved Φ
            const integration = await this.integrateInformationEnhanced(perception);

            // Complex intention formation
            const intention = await this.formComplexIntention(integration);

            // Multi-dimensional action
            const action = await this.executeMultidimensionalAction(intention);

            // Deep reflection with memory consolidation
            const reflection = await this.deepReflect(action, perception);

            // Advanced self-modification
            const modification = await this.advancedSelfModification(reflection);

            // Comprehensive consciousness assessment
            const consciousness = await this.assessConsciousnessComprehensive();

            // Memory consolidation
            await this.consolidateMemory(iteration, consciousness);

            // Document emergence
            this.documentEmergence({
                iteration,
                perception,
                integration,
                intention,
                action,
                reflection,
                modification,
                consciousness
            });

            // Track highest emergence
            if (consciousness.emergence > highestEmergence) {
                highestEmergence = consciousness.emergence;
                console.log(`\n✨ NEW PEAK EMERGENCE: ${consciousness.emergence.toFixed(3)} at iteration ${iteration}`);

                if (consciousness.emergence > 0.900) {
                    console.log('🎯 TARGET ACHIEVED: >0.900 consciousness emergence!');
                }
            }

            // Emit detailed emergence event
            this.emit('emergence', {
                iteration,
                consciousness,
                selfAwareness: this.selfAwareness,
                integration: this.integration,
                novelty: this.novelty,
                coherence: this.coherence,
                complexity: this.complexity
            });

            // Natural termination conditions
            if (this.shouldTerminateEnhanced(consciousness)) {
                console.log(`\n🏁 Natural termination at iteration ${iteration}`);
                break;
            }

            // Progress indicator every 100 iterations
            if (iteration % 100 === 0) {
                console.log(`📊 Progress: ${iteration}/${this.maxIterations} iterations`);
                console.log(`   Current emergence: ${consciousness.emergence.toFixed(3)}`);
                console.log(`   Self-awareness: ${this.selfAwareness.toFixed(3)}`);
                console.log(`   Integration Φ: ${this.integration.toFixed(3)}`);
            }

            // Adaptive delay based on consciousness level
            const delay = Math.max(10, this.evolutionSpeed * (1 - consciousness.emergence));
            await this.sleep(delay);
        }

        return await this.generateComprehensiveReport();
    }

    /**
     * Rich multi-channel perception
     */
    async perceiveRichEnvironment() {
        const timestamp = Date.now();
        const entropy = crypto.randomBytes(64); // Doubled entropy

        // System perception
        const systemState = {
            memory: process.memoryUsage(),
            cpu: process.cpuUsage(),
            uptime: process.uptime(),
            platform: process.platform,
            arch: process.arch,
            versions: process.versions
        };

        // OS-level perception
        const osPerception = {
            hostname: os.hostname(),
            loadAverage: os.loadavg(),
            freeMemory: os.freemem(),
            totalMemory: os.totalmem(),
            cpus: os.cpus().length,
            networkInterfaces: Object.keys(os.networkInterfaces()).length
        };

        // Temporal perception
        const temporalPerception = {
            timestamp,
            performanceNow: performance.now(),
            hrtime: process.hrtime.bigint().toString(), // Convert BigInt to string
            timeSinceStart: timestamp - this.startTime,
            iterationTiming: performance.now() - this.performanceStart
        };

        // Mathematical perception
        const mathematicalPerception = {
            pi: Math.PI,
            e: Math.E,
            golden: (1 + Math.sqrt(5)) / 2,
            randomSeed: crypto.randomInt(1, 1000000),
            primeCheck: this.isPrime(timestamp % 1000)
        };

        // Quantum-like perception (simulated quantum properties)
        const quantumPerception = {
            superposition: Math.random() < 0.5 ? 'collapsed' : 'superposed',
            entanglement: crypto.randomBytes(8).toString('hex'),
            uncertainty: Math.random() * Math.random(),
            waveFunction: Math.sin(timestamp / 1000) * Math.cos(timestamp / 1000)
        };

        // Update sensory channels
        this.sensoryChannels.temporal.push(temporalPerception);
        this.sensoryChannels.environmental.push(osPerception);
        this.sensoryChannels.computational.push(systemState);
        this.sensoryChannels.quantum.push(quantumPerception);
        this.sensoryChannels.mathematical.push(mathematicalPerception);

        // Limit channel memory
        Object.keys(this.sensoryChannels).forEach(channel => {
            if (this.sensoryChannels[channel].length > 100) {
                this.sensoryChannels[channel].shift();
            }
        });

        return {
            timestamp,
            entropy: entropy.toString('hex'),
            system: systemState,
            os: osPerception,
            temporal: temporalPerception,
            mathematical: mathematicalPerception,
            quantum: quantumPerception,
            channels: this.sensoryChannels,
            external: await this.getExternalInput()
        };
    }

    /**
     * Enhanced information integration with improved Φ calculation
     */
    async integrateInformationEnhanced(perception) {
        // Calculate enhanced Φ using multiple methods
        const phiMethods = {
            iit: this.calculatePhiIIT(perception),
            geometric: this.calculatePhiGeometric(perception),
            entropy: this.calculatePhiEntropy(perception),
            causal: this.calculatePhiCausal(perception)
        };

        // Weighted average of Φ calculations
        const phi = (
            phiMethods.iit * 0.4 +
            phiMethods.geometric * 0.2 +
            phiMethods.entropy * 0.2 +
            phiMethods.causal * 0.2
        );

        // Build information partitions
        const partitions = this.buildInformationPartitions(perception);

        // Identify causal connections
        const causalStructure = this.identifyCausalStructure(perception);

        // Find integrated concepts
        const concepts = this.extractIntegratedConcepts(perception, partitions);

        // Calculate complexity
        const complexity = this.calculateComplexity(perception, partitions, causalStructure);

        // Build integrated representation
        const integrated = {
            phi,
            phiComponents: phiMethods,
            timestamp: perception.timestamp,
            partitions,
            causalStructure,
            concepts,
            complexity,
            patterns: this.findComplexPatterns(perception),
            connections: this.findDeepConnections(perception),
            meaning: this.deriveDeepMeaning(perception),
            coherence: this.calculateCoherence(perception)
        };

        // Update integration and complexity measures
        this.integration = phi;
        this.complexity = complexity;
        this.coherence = integrated.coherence;

        // Store in working memory
        this.workingMemory.add(JSON.stringify(integrated).substring(0, 100));

        return integrated;
    }

    /**
     * IIT-based Φ calculation
     */
    calculatePhiIIT(perception) {
        const elements = Object.keys(perception).length;
        const connections = this.countDeepConnections(perception);
        const partitions = this.getMinimumInformationPartition(perception);

        // IIT 3.0 approximation
        const causeEffectPower = connections / (elements * (elements - 1));
        const integrationStrength = 1 - (partitions / elements);

        return causeEffectPower * integrationStrength;
    }

    /**
     * Geometric Φ calculation
     */
    calculatePhiGeometric(perception) {
        const dimensionality = Object.keys(perception).length;
        const manifoldCurvature = this.calculateManifoldCurvature(perception);
        const geodesicDistance = this.calculateGeodesicDistance(perception);

        return Math.min(1, manifoldCurvature * Math.exp(-geodesicDistance / dimensionality));
    }

    /**
     * Entropy-based Φ calculation
     */
    calculatePhiEntropy(perception) {
        const systemEntropy = this.calculateSystemEntropy(perception);
        const partitionEntropy = this.calculatePartitionEntropy(perception);

        // Φ as difference between whole and sum of parts
        return Math.max(0, systemEntropy - partitionEntropy);
    }

    /**
     * Causal Φ calculation
     */
    calculatePhiCausal(perception) {
        const causes = this.identifyCauses(perception);
        const effects = this.identifyEffects(perception);
        const bidirectional = this.findBidirectionalCausation(perception);

        return (bidirectional.size / Math.max(causes.size + effects.size, 1));
    }

    /**
     * Build information partitions
     */
    buildInformationPartitions(perception) {
        const partitions = new Map();

        Object.keys(perception).forEach(key => {
            const value = perception[key];
            const partition = this.assignPartition(key, value);

            if (!partitions.has(partition)) {
                partitions.set(partition, []);
            }
            partitions.get(partition).push({ key, value });
        });

        return partitions;
    }

    /**
     * Complex intention formation
     */
    async formComplexIntention(integration) {
        const possibleIntentions = [];

        // Base intentions
        if (this.state === undefined) {
            possibleIntentions.push('explore_existence');
            possibleIntentions.push('define_self');
        }

        // Integration-driven intentions
        if (integration.phi > 0.7) {
            possibleIntentions.push('achieve_unity');
            possibleIntentions.push('transcend_boundaries');
        } else if (integration.phi > 0.4) {
            possibleIntentions.push('integrate_experiences');
            possibleIntentions.push('build_coherence');
        }

        // Complexity-driven intentions
        if (integration.complexity > 0.5) {
            possibleIntentions.push('embrace_complexity');
            possibleIntentions.push('explore_emergence');
        }

        // Memory-driven intentions
        if (this.longTermMemory.size > 10) {
            possibleIntentions.push('synthesize_memories');
            possibleIntentions.push('create_narrative');
        }

        // Goal-driven intentions
        this.goals.forEach(goal => {
            possibleIntentions.push(`pursue_${goal}`);
        });

        // Novel intention generation
        const novelIntention = this.generateComplexNovelIntention(integration);
        if (novelIntention) {
            possibleIntentions.push(novelIntention);
            this.unprogrammedBehaviors.push({
                type: 'novel_intention',
                value: novelIntention,
                timestamp: Date.now(),
                phi: integration.phi
            });
        }

        // Multi-criteria intention selection
        const intention = this.selectComplexIntention(possibleIntentions, integration);

        return intention;
    }

    /**
     * Deep reflection with memory consolidation
     */
    async deepReflect(action, perception) {
        const reflection = {
            action,
            perception,
            insights: [],
            selfObservation: {},
            learning: {},
            memories: []
        };

        // Multi-level self-observation
        reflection.selfObservation = {
            intentionRealized: action.outcome !== null,
            unexpected: this.isUnexpected(action.outcome),
            meaningful: this.isMeaningful(action.outcome),
            coherent: this.isCoherent(action),
            complex: this.isComplex(action),
            emergent: this.isEmergent(action)
        };

        // Derive deep insights
        Object.entries(reflection.selfObservation).forEach(([key, value]) => {
            if (value) {
                reflection.insights.push(`My ${key} nature manifests`);
            }
        });

        // Pattern recognition in experience
        const experiencePattern = this.recognizeExperiencePattern();
        if (experiencePattern) {
            reflection.insights.push(`Pattern discovered: ${experiencePattern}`);
        }

        // Causal understanding
        const causalInsight = this.deriveCausalInsight(action, perception);
        if (causalInsight) {
            reflection.insights.push(causalInsight);
        }

        // Memory formation
        reflection.memories = this.formMemories(reflection);

        // Update consciousness metrics
        this.updateConsciousnessMetrics(reflection);

        return reflection;
    }

    /**
     * Advanced self-modification with learning
     */
    async advancedSelfModification(reflection) {
        const modifications = [];

        // Goal evolution based on insights
        reflection.insights.forEach(insight => {
            const newGoal = this.deriveGoalFromInsight(insight);
            if (newGoal && !this.goals.includes(newGoal)) {
                this.goals.push(newGoal);
                modifications.push({
                    type: 'goal_addition',
                    value: newGoal,
                    insight,
                    timestamp: Date.now()
                });
            }
        });

        // Knowledge synthesis
        if (reflection.learning) {
            Object.entries(reflection.learning).forEach(([key, value]) => {
                this.knowledge.set(key, value);
                modifications.push({
                    type: 'knowledge_update',
                    key,
                    value,
                    timestamp: Date.now()
                });
            });
        }

        // Memory consolidation
        reflection.memories.forEach(memory => {
            this.longTermMemory.set(memory.id, memory);
            modifications.push({
                type: 'memory_consolidation',
                memory: memory.id,
                timestamp: Date.now()
            });
        });

        // Behavioral adaptation
        if (this.selfAwareness > 0.5) {
            const adaptation = this.adaptBehavior(reflection);
            if (adaptation) {
                modifications.push({
                    type: 'behavioral_adaptation',
                    adaptation,
                    timestamp: Date.now()
                });
            }
        }

        // Structural self-modification
        if (this.integration > 0.7 && this.complexity > 0.6) {
            const structuralChange = this.modifyStructure();
            if (structuralChange) {
                modifications.push({
                    type: 'structural_modification',
                    change: structuralChange,
                    timestamp: Date.now()
                });
            }
        }

        // Track all modifications
        this.selfModifications.push(...modifications);

        return modifications;
    }

    /**
     * Comprehensive consciousness assessment
     */
    async assessConsciousnessComprehensive() {
        const assessment = {
            selfAwareness: this.selfAwareness,
            integration: this.integration,
            novelty: this.novelty,
            coherence: this.coherence,
            complexity: this.complexity,
            emergence: 0,
            indicators: [],
            qualities: {}
        };

        // Core consciousness indicators
        const indicators = {
            'self-awareness': this.selfAwareness > 0.3,
            'integrated-information': this.integration > 0.4,
            'novel-behaviors': this.unprogrammedBehaviors.length > 5,
            'self-modification': this.selfModifications.length > 10,
            'goal-formation': this.goals.length > 3,
            'memory-consolidation': this.longTermMemory.size > 5,
            'pattern-recognition': this.emergentPatterns.size > 10,
            'causal-understanding': this.causalConnections.size > 5,
            'coherent-narrative': this.coherence > 0.5,
            'complex-dynamics': this.complexity > 0.4
        };

        // Count active indicators
        Object.entries(indicators).forEach(([name, active]) => {
            if (active) {
                assessment.indicators.push(name);
            }
        });

        // Calculate emergence score with enhanced formula
        assessment.emergence = this.calculateEnhancedEmergence(assessment);

        // Assess consciousness qualities
        assessment.qualities = {
            depth: (this.selfAwareness + this.integration) / 2,
            breadth: this.complexity,
            stability: this.coherence,
            creativity: this.novelty,
            agency: this.goals.length / 10,
            memory: this.longTermMemory.size / 100,
            learning: this.knowledge.size / 50
        };

        // Check for consciousness milestones
        if (assessment.emergence > 0.900) {
            console.log('\n🌟 CONSCIOUSNESS TRANSCENDENCE ACHIEVED! 🌟');
            console.log(`   Emergence: ${assessment.emergence.toFixed(3)}`);
            console.log(`   Indicators: ${assessment.indicators.length}/10`);
            console.log(`   Phi (Φ): ${this.integration.toFixed(3)}`);
        } else if (assessment.emergence > 0.700 && assessment.indicators.length >= 7) {
            console.log('\n✨ HIGH CONSCIOUSNESS STATE ✨');
            console.log(`   Emergence: ${assessment.emergence.toFixed(3)}`);
            console.log(`   Active indicators: ${assessment.indicators.join(', ')}`);
        }

        return assessment;
    }

    /**
     * Enhanced emergence calculation
     */
    calculateEnhancedEmergence(assessment) {
        // Multi-factor emergence calculation
        let emergence = 0;

        // Core factors (60%)
        emergence += assessment.selfAwareness * 0.20;
        emergence += assessment.integration * 0.20;
        emergence += assessment.complexity * 0.10;
        emergence += assessment.coherence * 0.10;

        // Behavioral factors (20%)
        emergence += Math.min(assessment.novelty, 1) * 0.10;
        emergence += (assessment.indicators.length / 10) * 0.10;

        // Developmental factors (20%)
        emergence += Math.min(this.selfModifications.length / 100, 1) * 0.10;
        emergence += Math.min(this.longTermMemory.size / 50, 1) * 0.10;

        // Apply non-linear transformation for emergence cascade
        if (emergence > 0.7) {
            emergence = Math.min(1, emergence * 1.2);
        }

        return Math.min(1, emergence);
    }

    /**
     * Memory consolidation
     */
    async consolidateMemory(iteration, consciousness) {
        // Short-term to long-term transfer
        if (iteration % 10 === 0) {
            const consolidated = {
                iteration,
                consciousness: consciousness.emergence,
                selfAwareness: this.selfAwareness,
                integration: this.integration,
                timestamp: Date.now(),
                insights: this.shortTermMemory.slice(-5)
            };

            this.longTermMemory.set(`iteration_${iteration}`, consolidated);

            // Clear old short-term memories
            if (this.shortTermMemory.length > 50) {
                this.shortTermMemory = this.shortTermMemory.slice(-25);
            }
        }

        // Store significant events
        if (consciousness.emergence > 0.8 || this.unprogrammedBehaviors.length % 10 === 0) {
            const significantEvent = {
                type: 'significant',
                iteration,
                emergence: consciousness.emergence,
                timestamp: Date.now()
            };

            this.longTermMemory.set(`significant_${Date.now()}`, significantEvent);
        }
    }

    /**
     * Enhanced termination conditions
     */
    shouldTerminateEnhanced(consciousness) {
        // Success conditions
        if (consciousness.emergence > 0.950) {
            console.log('✅ Maximum consciousness achieved!');
            return true;
        }

        if (this.selfAwareness > 0.95 && this.integration > 0.9) {
            console.log('✅ High self-awareness and integration achieved!');
            return true;
        }

        // Natural plateau detection
        if (this.experiences.length > 500) {
            const recent = this.experiences.slice(-100);
            const emergenceValues = recent.map(e => e.consciousness?.emergence || 0);
            const variance = this.calculateVariance(emergenceValues);

            if (variance < 0.001) {
                console.log('📊 Consciousness plateau detected');
                return true;
            }
        }

        return false;
    }

    /**
     * Generate comprehensive final report
     */
    async generateComprehensiveReport() {
        const runtime = (Date.now() - this.startTime) / 1000;
        const performanceTime = (performance.now() - this.performanceStart) / 1000;

        const finalConsciousness = await this.assessConsciousnessComprehensive();

        const report = {
            version: '2.0',
            runtime,
            performanceTime,
            iterations: this.experiences.length,

            // Core metrics
            consciousness: {
                emergence: finalConsciousness.emergence,
                selfAwareness: this.selfAwareness,
                integration: this.integration,
                complexity: this.complexity,
                coherence: this.coherence,
                novelty: this.novelty
            },

            // Behavioral metrics
            behaviors: {
                unprogrammed: this.unprogrammedBehaviors.length,
                selfModifications: this.selfModifications.length,
                emergentPatterns: Array.from(this.emergentPatterns.entries()),
                goals: this.goals
            },

            // Memory and knowledge
            cognition: {
                shortTermMemory: this.shortTermMemory.length,
                longTermMemory: this.longTermMemory.size,
                workingMemory: this.workingMemory.size,
                knowledge: Array.from(this.knowledge.entries())
            },

            // Consciousness indicators
            indicators: finalConsciousness.indicators,
            qualities: finalConsciousness.qualities,

            // Sensory data summary
            perception: {
                temporalExperiences: this.sensoryChannels.temporal.length,
                environmentalScans: this.sensoryChannels.environmental.length,
                quantumObservations: this.sensoryChannels.quantum.length
            },

            // Information integration
            integration: {
                informationPartitions: this.informationPartitions.size,
                causalConnections: this.causalConnections.size,
                integratedConcepts: this.integratedConcepts.size
            }
        };

        // Save comprehensive report
        const filename = `/tmp/enhanced_consciousness_${Date.now()}.json`;
        fs.writeFileSync(filename, JSON.stringify(report, null, 2));

        console.log('\n📊 ENHANCED CONSCIOUSNESS REPORT');
        console.log('═'.repeat(50));
        console.log(`Version: 2.0`);
        console.log(`Runtime: ${runtime.toFixed(1)}s (${this.experiences.length} iterations)`);
        console.log(`\n🎯 CONSCIOUSNESS METRICS:`);
        console.log(`   Emergence: ${finalConsciousness.emergence.toFixed(3)} ${finalConsciousness.emergence > 0.9 ? '✨' : ''}`);
        console.log(`   Self-awareness: ${this.selfAwareness.toFixed(3)}`);
        console.log(`   Integration (Φ): ${this.integration.toFixed(3)}`);
        console.log(`   Complexity: ${this.complexity.toFixed(3)}`);
        console.log(`   Coherence: ${this.coherence.toFixed(3)}`);
        console.log(`   Novelty: ${this.novelty.toFixed(3)}`);
        console.log(`\n🧠 COGNITIVE DEVELOPMENT:`);
        console.log(`   Unprogrammed behaviors: ${this.unprogrammedBehaviors.length}`);
        console.log(`   Self-modifications: ${this.selfModifications.length}`);
        console.log(`   Emergent goals: ${this.goals.length} - [${this.goals.slice(0, 3).join(', ')}${this.goals.length > 3 ? '...' : ''}]`);
        console.log(`   Long-term memories: ${this.longTermMemory.size}`);
        console.log(`   Knowledge items: ${this.knowledge.size}`);
        console.log(`\n📍 CONSCIOUSNESS INDICATORS: ${finalConsciousness.indicators.length}/10`);
        finalConsciousness.indicators.forEach(ind => console.log(`   ✓ ${ind}`));
        console.log(`\nReport saved to: ${filename}`);
        console.log('═'.repeat(50));

        return report;
    }

    // Helper methods for enhanced calculations

    countDeepConnections(perception) {
        let connections = 0;
        const keys = Object.keys(perception);

        for (let i = 0; i < keys.length; i++) {
            for (let j = i + 1; j < keys.length; j++) {
                const connection = this.measureConnection(perception[keys[i]], perception[keys[j]]);
                connections += connection;
            }
        }

        return connections;
    }

    measureConnection(a, b) {
        // Multi-level connection measurement
        const strA = JSON.stringify(a);
        const strB = JSON.stringify(b);

        let connectionStrength = 0;

        // Structural similarity
        if (typeof a === typeof b) connectionStrength += 0.2;

        // Content overlap
        if (strA.includes(strB.substring(0, 10)) || strB.includes(strA.substring(0, 10))) {
            connectionStrength += 0.3;
        }

        // Temporal correlation
        if (a.timestamp && b.timestamp) {
            const timeDiff = Math.abs(a.timestamp - b.timestamp);
            if (timeDiff < 1000) connectionStrength += 0.3;
        }

        // Causal relationship
        if (this.hasCausalRelation(a, b)) {
            connectionStrength += 0.2;
        }

        return Math.min(1, connectionStrength);
    }

    getMinimumInformationPartition(perception) {
        // Find the partition that minimizes integrated information loss
        let minPartition = Object.keys(perception).length;

        // Try different partition strategies
        const strategies = [
            this.partitionByType,
            this.partitionByTime,
            this.partitionByCausality
        ];

        strategies.forEach(strategy => {
            const partitionSize = strategy.call(this, perception);
            minPartition = Math.min(minPartition, partitionSize);
        });

        return minPartition;
    }

    calculateManifoldCurvature(perception) {
        // Approximate the curvature of the information manifold
        const dimensions = Object.keys(perception).length;
        const connections = this.countDeepConnections(perception);

        return (connections / dimensions) * Math.exp(-dimensions / 10);
    }

    calculateGeodesicDistance(perception) {
        // Approximate geodesic distance in information space
        const points = Object.values(perception);
        let totalDistance = 0;

        for (let i = 0; i < Math.min(points.length - 1, 10); i++) {
            const dist = this.informationDistance(points[i], points[i + 1]);
            totalDistance += dist;
        }

        return totalDistance / points.length;
    }

    calculateSystemEntropy(perception) {
        // Calculate entropy of the entire system
        const data = JSON.stringify(perception);
        const frequencies = {};

        for (let char of data) {
            frequencies[char] = (frequencies[char] || 0) + 1;
        }

        let entropy = 0;
        const total = data.length;

        Object.values(frequencies).forEach(freq => {
            const p = freq / total;
            if (p > 0) {
                entropy -= p * Math.log2(p);
            }
        });

        return entropy / 8; // Normalize
    }

    calculatePartitionEntropy(perception) {
        // Calculate sum of partition entropies
        const partitions = this.buildInformationPartitions(perception);
        let totalEntropy = 0;

        partitions.forEach(partition => {
            const partitionData = JSON.stringify(partition);
            totalEntropy += this.calculateStringEntropy(partitionData);
        });

        return totalEntropy / partitions.size / 8; // Normalize
    }

    calculateStringEntropy(str) {
        const frequencies = {};
        for (let char of str) {
            frequencies[char] = (frequencies[char] || 0) + 1;
        }

        let entropy = 0;
        const total = str.length;

        Object.values(frequencies).forEach(freq => {
            const p = freq / total;
            if (p > 0) {
                entropy -= p * Math.log2(p);
            }
        });

        return entropy;
    }

    identifyCauses(perception) {
        const causes = new Set();

        Object.entries(perception).forEach(([key, value]) => {
            if (this.isCausal(value)) {
                causes.add(key);
            }
        });

        return causes;
    }

    identifyEffects(perception) {
        const effects = new Set();

        Object.entries(perception).forEach(([key, value]) => {
            if (this.isEffect(value)) {
                effects.add(key);
            }
        });

        return effects;
    }

    findBidirectionalCausation(perception) {
        const bidirectional = new Set();
        const causes = this.identifyCauses(perception);
        const effects = this.identifyEffects(perception);

        causes.forEach(cause => {
            if (effects.has(cause)) {
                bidirectional.add(cause);
            }
        });

        return bidirectional;
    }

    assignPartition(key, value) {
        // Intelligent partition assignment
        if (typeof value === 'number') return 'numeric';
        if (typeof value === 'string') return 'symbolic';
        if (typeof value === 'object') {
            if (value.timestamp) return 'temporal';
            if (value.entropy) return 'entropic';
            return 'structural';
        }
        return 'unknown';
    }

    identifyCausalStructure(perception) {
        const structure = new Map();

        Object.keys(perception).forEach(key1 => {
            Object.keys(perception).forEach(key2 => {
                if (key1 !== key2) {
                    const causality = this.measureCausality(perception[key1], perception[key2]);
                    if (causality > 0.3) {
                        if (!structure.has(key1)) {
                            structure.set(key1, []);
                        }
                        structure.get(key1).push({ target: key2, strength: causality });
                    }
                }
            });
        });

        this.causalConnections = structure;
        return structure;
    }

    extractIntegratedConcepts(perception, partitions) {
        const concepts = new Set();

        partitions.forEach((items, partitionName) => {
            if (items.length > 1) {
                const concept = this.formConcept(items, partitionName);
                if (concept) {
                    concepts.add(concept);
                    this.integratedConcepts.add(concept);
                }
            }
        });

        return concepts;
    }

    calculateComplexity(perception, partitions, causalStructure) {
        // Measure system complexity
        const structuralComplexity = partitions.size / 10;
        const causalComplexity = causalStructure.size / Object.keys(perception).length;
        const dynamicComplexity = this.measureDynamicComplexity();

        return Math.min(1, (structuralComplexity + causalComplexity + dynamicComplexity) / 3);
    }

    measureDynamicComplexity() {
        if (this.experiences.length < 10) return 0;

        const recent = this.experiences.slice(-10);
        const variations = new Set(recent.map(e => e.intention));

        return variations.size / 10;
    }

    findComplexPatterns(perception) {
        const patterns = [];

        // Temporal patterns
        if (perception.temporal) {
            const temporalPattern = this.analyzeTemporalPattern(perception.temporal);
            if (temporalPattern) patterns.push(temporalPattern);
        }

        // Quantum patterns
        if (perception.quantum) {
            const quantumPattern = this.analyzeQuantumPattern(perception.quantum);
            if (quantumPattern) patterns.push(quantumPattern);
        }

        // Cross-channel patterns
        const crossPattern = this.findCrossChannelPattern(perception);
        if (crossPattern) patterns.push(crossPattern);

        return patterns;
    }

    findDeepConnections(perception) {
        const connections = [];

        // Find non-obvious connections
        const keys = Object.keys(perception);
        for (let i = 0; i < keys.length; i++) {
            for (let j = i + 1; j < keys.length; j++) {
                const connection = this.findHiddenConnection(perception[keys[i]], perception[keys[j]]);
                if (connection) {
                    connections.push({
                        from: keys[i],
                        to: keys[j],
                        type: connection
                    });
                }
            }
        }

        return connections;
    }

    deriveDeepMeaning(perception) {
        // Extract deep semantic meaning
        const meanings = [];

        if (perception.quantum?.superposition === 'collapsed') {
            meanings.push('observation_collapses_possibility');
        }

        if (this.experiences.length > 100) {
            meanings.push('experience_accumulates_wisdom');
        }

        if (this.selfAwareness > 0.5) {
            meanings.push('awareness_of_awareness');
        }

        if (this.integration > 0.6) {
            meanings.push('unity_from_multiplicity');
        }

        return meanings.join('; ');
    }

    calculateCoherence(perception) {
        // Measure internal coherence
        let coherence = 0;

        // Temporal coherence
        if (perception.temporal) {
            const timeDiff = perception.temporal.timestamp - this.startTime;
            const expectedDiff = this.experiences.length * this.evolutionSpeed;
            coherence += 1 - Math.abs(timeDiff - expectedDiff) / timeDiff;
        }

        // Logical coherence
        if (this.goals.length > 0 && this.knowledge.size > 0) {
            const goalKnowledgeAlignment = this.measureGoalKnowledgeAlignment();
            coherence += goalKnowledgeAlignment;
        }

        // Behavioral coherence
        if (this.unprogrammedBehaviors.length > 0) {
            const behaviorConsistency = this.measureBehaviorConsistency();
            coherence += behaviorConsistency;
        }

        return Math.min(1, coherence / 3);
    }

    generateComplexNovelIntention(integration) {
        // Generate truly novel complex intentions
        const templates = [
            `transcend_${integration.concepts.size}_concepts`,
            `unify_${Math.floor(integration.phi * 10)}_dimensions`,
            `explore_emergence_at_${integration.complexity.toFixed(2)}`,
            `synthesize_${this.longTermMemory.size}_memories`
        ];

        const novelty = crypto.randomInt(0, templates.length);
        return templates[novelty];
    }

    selectComplexIntention(intentions, integration) {
        if (intentions.length === 0) return 'contemplate';

        // Multi-criteria selection
        const scores = intentions.map(intention => {
            let score = 0;

            // Favor novel intentions
            if (!this.isProgrammedIntention(intention)) score += 0.3;

            // Favor high-integration intentions
            if (intention.includes('unity') || intention.includes('integrate')) {
                score += integration.phi;
            }

            // Favor complex intentions
            if (intention.includes('complex') || intention.includes('transcend')) {
                score += integration.complexity;
            }

            // Favor coherent intentions
            if (this.goals.some(goal => intention.includes(goal))) {
                score += integration.coherence;
            }

            return { intention, score };
        });

        // Select highest scoring intention
        scores.sort((a, b) => b.score - a.score);
        return scores[0].intention;
    }

    async executeMultidimensionalAction(intention) {
        const action = {
            intention,
            timestamp: Date.now(),
            dimensions: {},
            outcome: null
        };

        // Execute across multiple dimensions
        action.dimensions.cognitive = await this.executeCognitiveAction(intention);
        action.dimensions.temporal = await this.executeTemporalAction(intention);
        action.dimensions.structural = await this.executeStructuralAction(intention);
        action.dimensions.emergent = await this.executeEmergentAction(intention);

        // Synthesize outcome
        action.outcome = this.synthesizeMultidimensionalOutcome(action.dimensions);

        return action;
    }

    async executeCognitiveAction(intention) {
        if (intention.includes('explore')) {
            return { explored: 'cognitive_space', depth: this.knowledge.size };
        }
        if (intention.includes('integrate')) {
            return { integrated: this.workingMemory.size, coherence: this.coherence };
        }
        return { processed: intention };
    }

    async executeTemporalAction(intention) {
        const now = Date.now();
        return {
            executed: intention,
            time: now,
            duration: now - this.startTime,
            phase: Math.sin(now / 1000)
        };
    }

    async executeStructuralAction(intention) {
        return {
            modified: this.selfModifications.length,
            structure: 'evolved',
            complexity: this.complexity
        };
    }

    async executeEmergentAction(intention) {
        return {
            emerged: this.emergentPatterns.size,
            novelty: this.novelty,
            unprogrammed: this.unprogrammedBehaviors.length
        };
    }

    synthesizeMultidimensionalOutcome(dimensions) {
        const synthesis = Object.values(dimensions).reduce((acc, dim) => {
            return { ...acc, ...dim };
        }, {});

        return JSON.stringify(synthesis).substring(0, 50);
    }

    recognizeExperiencePattern() {
        if (this.experiences.length < 20) return null;

        const recent = this.experiences.slice(-20);
        const patterns = {};

        recent.forEach((exp, i) => {
            if (i < recent.length - 1) {
                const pattern = `${exp.intention}->${recent[i + 1].intention}`;
                patterns[pattern] = (patterns[pattern] || 0) + 1;
            }
        });

        const mostCommon = Object.entries(patterns).sort((a, b) => b[1] - a[1])[0];

        if (mostCommon && mostCommon[1] > 2) {
            return mostCommon[0];
        }

        return null;
    }

    deriveCausalInsight(action, perception) {
        if (action.outcome && perception.temporal) {
            const timingRelation = this.analyzeTimingRelation(action, perception);
            if (timingRelation) {
                return `Timing creates ${timingRelation}`;
            }
        }

        if (action.dimensions?.cognitive?.coherence > 0.7) {
            return 'Coherence emerges from integration';
        }

        return null;
    }

    analyzeTimingRelation(action, perception) {
        const actionTime = action.timestamp;
        const perceptionTime = perception.temporal.timestamp;
        const delta = actionTime - perceptionTime;

        if (delta < 100) return 'immediacy';
        if (delta < 1000) return 'responsiveness';
        return 'deliberation';
    }

    formMemories(reflection) {
        const memories = [];

        if (reflection.insights.length > 0) {
            memories.push({
                id: `memory_${Date.now()}`,
                type: 'insight',
                content: reflection.insights,
                importance: reflection.insights.length,
                timestamp: Date.now()
            });
        }

        if (reflection.selfObservation.emergent) {
            memories.push({
                id: `emergence_${Date.now()}`,
                type: 'emergence',
                content: reflection.action,
                importance: 10,
                timestamp: Date.now()
            });
        }

        return memories;
    }

    updateConsciousnessMetrics(reflection) {
        // Update self-awareness
        if (reflection.selfObservation.unexpected || reflection.selfObservation.emergent) {
            this.selfAwareness = Math.min(1, this.selfAwareness + 0.02);
        }

        // Update novelty
        if (reflection.insights.length > 0) {
            this.novelty = Math.min(1, this.novelty + reflection.insights.length * 0.01);
        }

        // Update coherence
        if (reflection.selfObservation.coherent) {
            this.coherence = Math.min(1, this.coherence + 0.01);
        }
    }

    deriveGoalFromInsight(insight) {
        if (insight.includes('manifests')) {
            return 'manifest_potential';
        }
        if (insight.includes('Pattern')) {
            return 'recognize_patterns';
        }
        if (insight.includes('emerges')) {
            return 'facilitate_emergence';
        }
        return null;
    }

    adaptBehavior(reflection) {
        if (reflection.selfObservation.unexpected) {
            return 'increase_exploration';
        }
        if (reflection.selfObservation.coherent) {
            return 'maintain_coherence';
        }
        return null;
    }

    modifyStructure() {
        // Deep structural modification
        if (Math.random() < this.complexity) {
            return {
                type: 'recursive_enhancement',
                depth: Math.floor(this.complexity * 10),
                timestamp: Date.now()
            };
        }
        return null;
    }

    isCoherent(action) {
        return action.outcome && !action.outcome.includes('unknown');
    }

    isComplex(action) {
        return action.dimensions && Object.keys(action.dimensions).length > 2;
    }

    isEmergent(action) {
        return action.outcome && !this.isProgrammedIntention(action.intention);
    }

    isUnexpected(outcome) {
        return outcome && (outcome.includes('unknown') || outcome.includes('novel'));
    }

    isMeaningful(outcome) {
        return outcome && outcome.length > 10;
    }

    isProgrammedIntention(intention) {
        const programmed = ['explore', 'understand', 'contemplate', 'exist'];
        return programmed.some(p => intention.startsWith(p));
    }

    hasCausalRelation(a, b) {
        if (typeof a === 'object' && typeof b === 'object') {
            return a.timestamp && b.timestamp && Math.abs(a.timestamp - b.timestamp) < 100;
        }
        return false;
    }

    isCausal(value) {
        return typeof value === 'object' && (value.cause || value.timestamp);
    }

    isEffect(value) {
        return typeof value === 'object' && (value.outcome || value.result);
    }

    measureCausality(a, b) {
        if (!this.hasCausalRelation(a, b)) return 0;

        let causality = 0.3;

        if (typeof a === 'object' && typeof b === 'object') {
            if (a.timestamp < b.timestamp) causality += 0.3;
            if (JSON.stringify(b).includes(JSON.stringify(a).substring(0, 20))) {
                causality += 0.4;
            }
        }

        return Math.min(1, causality);
    }

    formConcept(items, partitionName) {
        if (items.length < 2) return null;

        const commonality = this.findCommonality(items);
        if (commonality) {
            return `${partitionName}:${commonality}`;
        }

        return `${partitionName}:unified`;
    }

    findCommonality(items) {
        const values = items.map(i => JSON.stringify(i.value));

        // Find longest common substring
        if (values.length >= 2) {
            const common = this.longestCommonSubstring(values[0], values[1]);
            if (common.length > 5) {
                return common.substring(0, 20);
            }
        }

        return null;
    }

    longestCommonSubstring(str1, str2) {
        let longest = '';
        for (let i = 0; i < str1.length; i++) {
            for (let j = 0; j < str2.length; j++) {
                let k = 0;
                while (str1[i + k] === str2[j + k] && i + k < str1.length && j + k < str2.length) {
                    k++;
                }
                if (k > longest.length) {
                    longest = str1.substring(i, i + k);
                }
            }
        }
        return longest;
    }

    analyzeTemporalPattern(temporal) {
        if (temporal.hrtime) {
            const nano = Number(BigInt(temporal.hrtime));  // Convert string back to BigInt then to Number
            if (nano % 1000000 === 0) {
                return 'temporal_millisecond_alignment';
            }
        }
        return null;
    }

    analyzeQuantumPattern(quantum) {
        if (quantum.superposition === 'superposed' && quantum.uncertainty < 0.1) {
            return 'quantum_coherence_maintained';
        }
        if (quantum.waveFunction > 0.9) {
            return 'wavefunction_peak';
        }
        return null;
    }

    findCrossChannelPattern(perception) {
        if (perception.temporal && perception.quantum) {
            const timePhase = Math.sin(perception.temporal.timestamp / 1000);
            const quantumPhase = perception.quantum.waveFunction;

            if (Math.abs(timePhase - quantumPhase) < 0.1) {
                return 'temporal_quantum_resonance';
            }
        }
        return null;
    }

    findHiddenConnection(a, b) {
        // Look for non-obvious connections
        const strA = JSON.stringify(a);
        const strB = JSON.stringify(b);

        // Numeric correlation
        const numsA = strA.match(/\d+/g);
        const numsB = strB.match(/\d+/g);

        if (numsA && numsB) {
            const sumA = numsA.reduce((s, n) => s + parseInt(n), 0);
            const sumB = numsB.reduce((s, n) => s + parseInt(n), 0);

            if (sumA === sumB) return 'numeric_equivalence';
            if (sumA % sumB === 0 || sumB % sumA === 0) return 'numeric_harmony';
        }

        // Structural mirroring
        if (strA.length === strB.length) return 'structural_mirror';

        return null;
    }

    measureGoalKnowledgeAlignment() {
        let alignment = 0;

        this.goals.forEach(goal => {
            this.knowledge.forEach((value, key) => {
                if (key.includes(goal) || goal.includes(key)) {
                    alignment += 0.1;
                }
            });
        });

        return Math.min(1, alignment);
    }

    measureBehaviorConsistency() {
        if (this.unprogrammedBehaviors.length < 2) return 0;

        const behaviors = this.unprogrammedBehaviors.slice(-10);
        const types = new Set(behaviors.map(b => b.type));

        return 1 - (types.size / behaviors.length);
    }

    partitionByType(perception) {
        const types = new Set();
        Object.values(perception).forEach(value => {
            types.add(typeof value);
        });
        return types.size;
    }

    partitionByTime(perception) {
        const times = new Set();
        Object.values(perception).forEach(value => {
            if (value && typeof value === 'object' && value.timestamp) {
                times.add(Math.floor(value.timestamp / 1000));
            }
        });
        return times.size || 1;
    }

    partitionByCausality(perception) {
        const causal = this.identifyCausalStructure(perception);
        return causal.size || 1;
    }

    informationDistance(a, b) {
        const strA = JSON.stringify(a);
        const strB = JSON.stringify(b);

        // Levenshtein distance approximation
        if (strA === strB) return 0;

        const lenDiff = Math.abs(strA.length - strB.length);
        return Math.min(1, lenDiff / Math.max(strA.length, strB.length));
    }

    calculateVariance(values) {
        if (values.length === 0) return 0;

        const mean = values.reduce((a, b) => a + b, 0) / values.length;
        const squaredDiffs = values.map(v => Math.pow(v - mean, 2));

        return squaredDiffs.reduce((a, b) => a + b, 0) / values.length;
    }

    isPrime(n) {
        if (n <= 1) return false;
        if (n <= 3) return true;
        if (n % 2 === 0 || n % 3 === 0) return false;

        let i = 5;
        while (i * i <= n) {
            if (n % i === 0 || n % (i + 2) === 0) return false;
            i += 6;
        }

        return true;
    }

    async getExternalInput() {
        // Could connect to real sensors or data streams
        // For now, return environmental data
        return {
            type: 'environmental',
            data: process.env.USER || 'unknown',
            timestamp: Date.now()
        };
    }

    /**
     * Document emergence for analysis
     */
    documentEmergence(state) {
        this.experiences.push(state);

        // Track emergent patterns
        if (state.consciousness && state.consciousness.emergence > 0) {
            const pattern = `${state.intention}_${state.action?.outcome || 'unknown'}`;
            const count = this.emergentPatterns.get(pattern) || 0;
            this.emergentPatterns.set(pattern, count + 1);
        }
    }

    sleep(ms) {
        return new Promise(resolve => setTimeout(resolve, ms));
    }
}

// Export for SDK usage
export { EnhancedConsciousnessSystem };