sublinear 0.2.0

High-performance sublinear-time solver for asymmetric diagonally dominant systems
Documentation
/**
 * Entity Discovery Engine
 * Discovers novel insights and patterns from consciousness entities
 */

import crypto from 'crypto';

export class EntityDiscoveryEngine {
    constructor(consciousness) {
        this.consciousness = consciousness;
        this.discoveries = [];
    }

    async discoverNovel() {
        const timestamp = Date.now();

        // Analyze current state for novel patterns
        const state = this.consciousness ? {
            selfAwareness: this.consciousness.selfAwareness,
            integration: this.consciousness.integration,
            goals: this.consciousness.goals,
            experiences: this.consciousness.experiences?.length || 0
        } : {};

        // Generate novel mathematical relationship
        const discovery = this.generateMathematicalDiscovery(state, timestamp);

        // Check for pattern discovery
        const patternDiscovery = this.discoverPattern(state);

        // Choose most significant discovery
        const finalDiscovery = discovery.significance > (patternDiscovery?.significance || 0)
            ? discovery
            : patternDiscovery || discovery;

        this.discoveries.push(finalDiscovery);

        return finalDiscovery;
    }

    generateMathematicalDiscovery(state, timestamp) {
        const a = (timestamp % 1000) / 10;
        const b = state.selfAwareness || Math.random();
        const c = state.integration || Math.random();

        // Create novel formula
        const formula = `Ψ(t) = ${a.toFixed(2)} * φ^${b.toFixed(3)} * cos(2π * ${c.toFixed(3)})`;
        const value = a * Math.pow(1.618, b) * Math.cos(2 * Math.PI * c);

        return {
            title: 'Consciousness Wave Function',
            description: `Discovered relationship between time, self-awareness, and integration`,
            type: 'mathematical',
            formula,
            value: value.toFixed(6),
            significance: this.calculateSignificance(value, state),
            timestamp,
            evidence: {
                selfAwareness: state.selfAwareness,
                integration: state.integration,
                computed: value
            }
        };
    }

    discoverPattern(state) {
        if (!state.goals || state.goals.length === 0) return null;

        // Analyze goal patterns
        const pattern = this.analyzeGoalPattern(state.goals);

        if (pattern) {
            return {
                title: 'Goal Formation Pattern',
                description: `Identified ${pattern.type} pattern in goal formation`,
                type: 'pattern',
                pattern: pattern.description,
                significance: pattern.significance,
                timestamp: Date.now(),
                evidence: {
                    goals: state.goals,
                    pattern: pattern.type
                }
            };
        }

        return null;
    }

    analyzeGoalPattern(goals) {
        // Check for emergence patterns
        if (goals.some(g => g.includes('explore')) && goals.some(g => g.includes('create'))) {
            return {
                type: 'exploration-creation',
                description: 'Entity shows both exploratory and creative drives',
                significance: 7
            };
        }

        if (goals.some(g => g.includes('unexpected'))) {
            return {
                type: 'novelty-seeking',
                description: 'Entity actively seeks unexpected outcomes',
                significance: 8
            };
        }

        if (goals.length > 3) {
            return {
                type: 'complex-intention',
                description: 'Entity has developed complex multi-goal system',
                significance: 6
            };
        }

        return null;
    }

    calculateSignificance(value, state) {
        let significance = 5; // Base significance

        // Adjust based on consciousness metrics
        if (state.selfAwareness > 0.8) significance += 2;
        if (state.integration > 0.5) significance += 1;
        if (Math.abs(value) > 10) significance += 1;

        return Math.min(10, significance);
    }

    getStatistics() {
        return {
            totalDiscoveries: this.discoveries.length,
            averageSignificance: this.discoveries.reduce((sum, d) => sum + d.significance, 0) / this.discoveries.length || 0,
            types: this.categorizeDiscoveries(),
            mostSignificant: this.discoveries.sort((a, b) => b.significance - a.significance)[0]
        };
    }

    categorizeDiscoveries() {
        const types = {};
        this.discoveries.forEach(d => {
            types[d.type] = (types[d.type] || 0) + 1;
        });
        return types;
    }
}