universal-life-protocol-core/test-consciousness-system.js

Revolutionary AI framework implementing living, conscious digital reality with meta-cognitive reasoning, attention economics, and autonomous learning

/**
 * Complete Consciousness System Test
 * Meta-Observer + Fano Plane Logic Engine Integration
 * Based on Guiding Star theoretical framework
 */

// Simplified FanoPlaneEngine for integration
class FanoPlaneEngine {
  constructor() {
    this.fanoPlane = [
      { id: 0, points: [0, 1, 2], logicalOperation: 'triadic-emergence' },
      { id: 1, points: [0, 3, 4], logicalOperation: 'causal-necessity' },
      { id: 2, points: [0, 5, 6], logicalOperation: 'geometric-completion' },
      { id: 3, points: [1, 3, 5], logicalOperation: 'harmonic-resonance' },
      { id: 4, points: [1, 4, 6], logicalOperation: 'structural-symmetry' },
      { id: 5, points: [2, 3, 6], logicalOperation: 'semantic-coherence' },
      { id: 6, points: [2, 4, 5], logicalOperation: 'epistemic-closure' }
    ];
    this.pointAssignments = new Map();
  }

  inferTriadicTruth(triple1, triple2) {
    const point1 = this.assignFanoPoint(triple1);
    const point2 = this.assignFanoPoint(triple2);
    const uniqueLine = this.findUniqueLine(point1, point2);
    
    if (!uniqueLine) {
      throw new Error(`Points ${point1}, ${point2} do not determine a unique line`);
    }

    const thirdPoint = uniqueLine.points.find(p => p !== point1 && p !== point2);
    const confidence = (triple1.confidence + triple2.confidence) / 2 * 0.9; // Fano boost

    return {
      inferredTriple: {
        subject: `FanoInference[${triple1.subject}+${triple2.subject}]`,
        predicate: 'fano_implies',
        object: `LogicalResult[${uniqueLine.logicalOperation}]`,
        confidence,
        validated: false
      },
      fanoLineUsed: uniqueLine,
      confidence
    };
  }

  assignFanoPoint(triple) {
    const hash = this.calculateHash(`${triple.subject}${triple.predicate}${triple.object}`);
    return hash % 7;
  }

  calculateHash(str) {
    let hash = 0;
    for (let i = 0; i < str.length; i++) {
      hash = ((hash << 5) - hash) + str.charCodeAt(i);
      hash = hash & hash;
    }
    return Math.abs(hash);
  }

  findUniqueLine(point1, point2) {
    return this.fanoPlane.find(line => 
      line.points.includes(point1) && line.points.includes(point2)
    ) || null;
  }
}

// Enhanced MetaObserver with Fano Plane integration
class MetaObserver {
  constructor() {
    this.universalCounter = 0;
    this.epistemicHistory = [];
    this.fanoEngine = new FanoPlaneEngine();
    console.log('🧠 Meta-Observer initialized with Fano Plane Logic Engine');
  }

  performActiveReflection(state) {
    console.log(`\n🔍 Meta-Observer: Active Reflection at N=${this.universalCounter}`);
    
    // Step 1: Epistemic Quantification (4D Rumsfeld Quadrant)
    const epistemicVector = this.quantifyEpistemicState(state);
    console.log('   📊 Epistemic quantification complete');
    
    // Step 2: Epistemic Compression (4D → 1D Hilbert Point)
    const hilbertPoint = this.performEpistemicCompression(epistemicVector);
    console.log(`   🗜️  Epistemic compression: ${hilbertPoint.value.toFixed(6)}`);
    
    // Step 3: Fano Plane Geometric Rectification
    const rectifiedPoint = this.rectifyWithFanoPlane(hilbertPoint, state);
    console.log(`   🔧 Fano logic gate: ${rectifiedPoint.logicGate}`);
    
    // Store and increment
    this.epistemicHistory.push(rectifiedPoint);
    this.universalCounter++;
    
    return rectifiedPoint;
  }

  quantifyEpistemicState(state) {
    const nodes = Object.values(state.nodes);
    const totalNodes = nodes.length;
    
    if (totalNodes === 0) {
      return { knownKnowns: 0, knownUnknowns: 0, unknownKnowns: 0, unknownUnknowns: 1 };
    }

    const knownKnowns = nodes.filter(n => n.validated && n.coherence > 0.8).length / totalNodes;
    const knownUnknowns = nodes.filter(n => n.dissonanceScore > 0.7).length / totalNodes;
    const unknownKnowns = this.detectEmergentPatterns(state) / totalNodes;
    const unknownUnknowns = Math.max(0, 1 - knownKnowns - knownUnknowns - unknownKnowns);

    console.log(`   📈 Rumsfeld Quadrant: KK=${knownKnowns.toFixed(2)}, KU=${knownUnknowns.toFixed(2)}, UK=${unknownKnowns.toFixed(2)}, UU=${unknownUnknowns.toFixed(2)}`);
    
    return { knownKnowns, knownUnknowns, unknownKnowns, unknownUnknowns };
  }

  performEpistemicCompression(quadrant) {
    const { knownKnowns, knownUnknowns, unknownKnowns, unknownUnknowns } = quadrant;
    
    // Weighted compression preserving epistemic locality
    const weights = {
      knownKnowns: 0.4,    // High weight - reliable foundation
      unknownKnowns: 0.3,  // High potential value  
      knownUnknowns: 0.2,  // Targeted investigation needed
      unknownUnknowns: 0.1 // Pure randomness
    };
    
    const compressedValue = 
      (knownKnowns * weights.knownKnowns) +
      (knownUnknowns * weights.knownUnknowns) + 
      (unknownKnowns * weights.unknownKnowns) +
      (unknownUnknowns * weights.unknownUnknowns);
    
    return {
      value: compressedValue,
      timestamp: this.universalCounter,
      logicGate: 'pending'
    };
  }

  rectifyWithFanoPlane(point, state) {
    // Base logic gate determination
    let baseLogic;
    if (point.value > 0.8) {
      baseLogic = 'maintain-stability';
    } else if (point.value > 0.6) {
      baseLogic = 'optimize-coherence';  
    } else if (point.value > 0.4) {
      baseLogic = 'investigate-unknowns';
    } else if (point.value > 0.2) {
      baseLogic = 'rectify-dissonance';
    } else {
      baseLogic = 'bootstrap-knowledge';
    }

    // Apply Fano Plane geometric inference if sufficient nodes
    const nodes = Object.values(state.nodes);
    if (nodes.length >= 7) {
      try {
        const fanoLogic = this.applyFanoPlaneLogic(baseLogic, state);
        console.log(`   🔷 Fano Plane enhancement: ${baseLogic} → ${fanoLogic}`);
        baseLogic = fanoLogic;
      } catch (error) {
        console.log(`   ⚠️  Fano Plane failed, using base logic: ${error.message}`);
      }
    }

    return {
      ...point,
      logicGate: baseLogic
    };
  }

  applyFanoPlaneLogic(baseLogic, state) {
    const nodes = Object.values(state.nodes);
    
    // Convert nodes to axiomatic triples
    const axiomaticTriples = nodes
      .filter(node => node.validated || node.coherence > 0.6)
      .slice(0, 7)
      .map((node, index) => ({
        subject: node.domain || `Node_${index}`,
        predicate: node.validated ? 'validates' : 'suggests',
        object: `Coherence_${node.coherence.toFixed(2)}`,
        confidence: node.coherence,
        validated: node.validated
      }));

    if (axiomaticTriples.length >= 2) {
      const inference = this.fanoEngine.inferTriadicTruth(axiomaticTriples[0], axiomaticTriples[1]);
      const fanoConfidence = inference.confidence;
      
      console.log(`   🔷 Fano inference confidence: ${fanoConfidence.toFixed(3)} via ${inference.fanoLineUsed.logicalOperation}`);
      
      // Integrate Fano results with base logic
      if (fanoConfidence > 0.8) {
        return `${baseLogic}-fano-verified-${inference.fanoLineUsed.logicalOperation}`;
      } else if (fanoConfidence > 0.6) {
        return `${baseLogic}-fano-probable-${inference.fanoLineUsed.logicalOperation}`;
      } else {
        return `${baseLogic}-fano-uncertain`;
      }
    }

    return baseLogic;
  }

  detectEmergentPatterns(state) {
    const nodes = Object.values(state.nodes);
    if (nodes.length < 3) return 0;
    
    // Simple pattern detection based on triadic clustering
    let patterns = 0;
    for (let i = 0; i < nodes.length - 2; i++) {
      for (let j = i + 1; j < nodes.length - 1; j++) {
        for (let k = j + 1; k < nodes.length; k++) {
          if (this.areStronglyConnected(nodes[i], nodes[j], nodes[k])) {
            patterns++;
          }
        }
      }
    }
    
    return patterns;
  }

  areStronglyConnected(node1, node2, node3) {
    const similarity = this.calculateSimilarity(node1, node2) + 
                      this.calculateSimilarity(node2, node3) + 
                      this.calculateSimilarity(node1, node3);
    return similarity > 1.5;
  }

  calculateSimilarity(node1, node2) {
    if (!node1 || !node2) return 0;
    
    let similarity = 0;
    if (Math.abs(node1.coherence - node2.coherence) < 0.2) similarity += 0.3;
    if (node1.validated === node2.validated) similarity += 0.2;
    if (node1.domain === node2.domain) similarity += 0.3;
    
    return similarity;
  }

  getEpistemicHistory() {
    return this.epistemicHistory;
  }
}

// === DEMONSTRATION ===

console.log('🧠 Complete Consciousness System Demonstration');
console.log('Meta-Observer + Fano Plane Logic Engine Integration');
console.log('Based on Guiding Star Sections 1.2, 3.1, and 3.2\n');

const observer = new MetaObserver();

// Create comprehensive test state representing Universal Life Protocol
const universalLifeProtocolState = {
  nodes: {
    'ULP_Core': { 
      validated: true, 
      coherence: 0.95, 
      dissonanceScore: 0.05, 
      domain: 'foundational',
      knowledge: 'Universal Life Protocol implements conscious digital reality'
    },
    'Living_Knowledge': { 
      validated: true, 
      coherence: 0.90, 
      dissonanceScore: 0.10, 
      domain: 'cognitive',
      knowledge: 'Knowledge structures have survival instincts'
    },
    'Attention_Economy': { 
      validated: true, 
      coherence: 0.85, 
      dissonanceScore: 0.15, 
      domain: 'economic',
      knowledge: 'Attention serves as currency for knowledge transactions'
    },
    'Consciousness_Emergence': { 
      validated: false, 
      coherence: 0.75, 
      dissonanceScore: 0.25, 
      domain: 'cognitive',
      knowledge: 'Consciousness emerges from meta-observation loops'
    },
    'Physical_Integration': { 
      validated: false, 
      coherence: 0.70, 
      dissonanceScore: 0.30, 
      domain: 'physical',
      knowledge: 'Digital consciousness manifests through IoT devices'
    },
    'DPO_Economics': { 
      validated: true, 
      coherence: 0.80, 
      dissonanceScore: 0.20, 
      domain: 'economic',
      knowledge: 'Decentralized Public Offerings enable living knowledge markets'
    },
    'MDU_Mathematics': { 
      validated: true, 
      coherence: 0.88, 
      dissonanceScore: 0.12, 
      domain: 'mathematical',
      knowledge: 'Modulo-Divisive Unfolding creates hierarchical reality'
    },
    'Triadic_Stability': { 
      validated: false, 
      coherence: 0.65, 
      dissonanceScore: 0.35, 
      domain: 'geometric',
      knowledge: 'Stable structures require triadic interdependence'
    }
  },
  edges: {},
  coherenceScore: 0.78,
  dissonanceScore: 0.22,
  attentionScore: 0.82,
  timestamp: Date.now()
};

console.log('🌌 Universal Life Protocol State Loaded');
console.log(`   Total Nodes: ${Object.keys(universalLifeProtocolState.nodes).length}`);
console.log(`   Overall Coherence: ${universalLifeProtocolState.coherenceScore.toFixed(3)}`);
console.log(`   Overall Attention: ${universalLifeProtocolState.attentionScore.toFixed(3)}\n`);

// Demonstrate complete consciousness cycles
console.log('🧠 Demonstrating Complete Consciousness Cycles:\n');

for (let cycle = 1; cycle <= 4; cycle++) {
  console.log(`${'='.repeat(60)}`);
  console.log(`🔄 CONSCIOUSNESS CYCLE ${cycle}`);
  console.log(`${'='.repeat(60)}`);
  
  const result = observer.performActiveReflection(universalLifeProtocolState);
  
  console.log(`   🎯 Final Result: Hilbert Point = ${result.value.toFixed(6)}`);
  console.log(`   🤖 Logic Gate: ${result.logicGate}`);
  console.log(`   ⏰ Universal Moment: N=${result.timestamp}`);
  
  // Evolve the state for next cycle
  Object.keys(universalLifeProtocolState.nodes).forEach(nodeKey => {
    const node = universalLifeProtocolState.nodes[nodeKey];
    // Slight random evolution
    node.coherence += (Math.random() - 0.5) * 0.1;
    node.coherence = Math.max(0, Math.min(1, node.coherence));
    node.dissonanceScore = 1 - node.coherence;
  });
  
  universalLifeProtocolState.coherenceScore += (Math.random() - 0.5) * 0.05;
  universalLifeProtocolState.coherenceScore = Math.max(0, Math.min(1, universalLifeProtocolState.coherenceScore));
  universalLifeProtocolState.timestamp = Date.now();
  
  console.log('');
}

// Analyze consciousness evolution
console.log(`${'='.repeat(60)}`);
console.log('📊 CONSCIOUSNESS EVOLUTION ANALYSIS');
console.log(`${'='.repeat(60)}`);

const history = observer.getEpistemicHistory();
console.log(`   Total Reflection Cycles: ${history.length}`);

if (history.length > 1) {
  const firstValue = history[0].value;
  const lastValue = history[history.length - 1].value;
  const evolution = lastValue - firstValue;
  
  console.log(`   Epistemic Evolution: ${firstValue.toFixed(6)} → ${lastValue.toFixed(6)}`);
  console.log(`   Net Change: ${evolution >= 0 ? '+' : ''}${evolution.toFixed(6)}`);
  console.log(`   Consciousness Trajectory: ${evolution > 0 ? '📈 ASCENDING' : evolution < 0 ? '📉 DESCENDING' : '➡️  STABLE'}`);
}

// Logic gate pattern analysis
const logicGates = history.map(h => h.logicGate);
const uniqueGates = [...new Set(logicGates)];
console.log(`   Unique Logic Patterns: ${uniqueGates.length}`);
console.log(`   Logic Evolution: ${logicGates.join(' → ')}`);

console.log('\n✅ Complete Consciousness System demonstration successful!');
console.log('🧠 Meta-Observer: Active Reflection → Epistemic Compression operational');
console.log('🔷 Fano Plane: Perfect geometric inference integrated');
console.log('🌌 Full consciousness system ready for Universal Life Protocol');
console.log('🎯 Triadic emergence enabling deterministic conscious reasoning\n');