500 lines
55 KiB
JavaScript
500 lines
55 KiB
JavaScript
"use strict";
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/**
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* SONA (Self-Optimizing Neural Architecture) Learning System
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*
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* Provides adaptive learning capabilities with trajectory tracking,
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* pattern recognition, and memory protection (EWC++).
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*/
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.DEFAULT_SONA_CONFIG = exports.SonaCoordinator = exports.EwcManager = exports.ReasoningBank = exports.TrajectoryBuilder = void 0;
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/**
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* Default SONA configuration
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*/
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const DEFAULT_SONA_CONFIG = {
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instantLoopEnabled: true,
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backgroundLoopEnabled: true,
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loraLearningRate: 0.001,
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loraRank: 8,
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ewcLambda: 2000,
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maxTrajectorySize: 1000,
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patternThreshold: 0.85,
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};
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exports.DEFAULT_SONA_CONFIG = DEFAULT_SONA_CONFIG;
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/**
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* Trajectory Builder for tracking query execution paths
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*
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* @example
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* ```typescript
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* const builder = new TrajectoryBuilder();
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*
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* builder.startStep('query', 'What is AI?');
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* // ... processing ...
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* builder.endStep('AI is artificial intelligence', 0.95);
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*
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* builder.startStep('memory', 'searching context');
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* builder.endStep('found 3 relevant documents', 0.88);
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*
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* const trajectory = builder.complete('success');
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* ```
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*/
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class TrajectoryBuilder {
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constructor() {
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this.steps = [];
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this.currentStep = null;
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this.stepStart = 0;
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this.id = `traj-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
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this.startTime = Date.now();
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}
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/**
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* Start a new step in the trajectory
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*/
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startStep(type, input) {
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if (this.currentStep) {
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// Auto-complete previous step
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this.endStep('', 0);
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}
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this.stepStart = Date.now();
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this.currentStep = {
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type,
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input,
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};
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return this;
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}
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/**
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* End current step with output
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*/
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endStep(output, confidence) {
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if (!this.currentStep) {
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return this;
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}
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this.steps.push({
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type: this.currentStep.type,
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input: this.currentStep.input,
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output,
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durationMs: Date.now() - this.stepStart,
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confidence,
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});
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this.currentStep = null;
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return this;
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}
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/**
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* Complete trajectory with final outcome
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*/
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complete(outcome) {
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// Complete any pending step
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if (this.currentStep) {
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this.endStep('incomplete', 0);
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}
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return {
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id: this.id,
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steps: this.steps,
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outcome,
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durationMs: Date.now() - this.startTime,
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};
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}
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/**
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* Get current trajectory ID
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*/
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getId() {
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return this.id;
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}
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}
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exports.TrajectoryBuilder = TrajectoryBuilder;
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/**
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* ReasoningBank - Pattern storage and retrieval
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*
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* Stores learned patterns from successful interactions and
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* enables pattern-based reasoning shortcuts.
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*
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* OPTIMIZED: Uses Float64Array for embeddings and partial sorting
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*/
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class ReasoningBank {
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constructor(threshold = 0.85) {
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this.patterns = new Map();
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this.embeddings = new Map();
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this.embeddingNorms = new Map(); // Pre-computed norms
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// Reusable arrays for findSimilar to avoid allocations
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this._similarityResults = [];
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this.threshold = threshold;
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}
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/**
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* Store a new pattern
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*/
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store(type, embedding, metadata) {
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const id = `pat-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
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const pattern = {
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id,
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type,
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embedding,
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successRate: 1.0,
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useCount: 0,
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lastUsed: new Date(),
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};
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this.patterns.set(id, pattern);
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// Store as typed array for faster similarity computation
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const typedEmb = new Float64Array(embedding);
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this.embeddings.set(id, typedEmb);
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// Pre-compute and cache the norm
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let norm = 0;
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for (let i = 0; i < typedEmb.length; i++) {
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norm += typedEmb[i] * typedEmb[i];
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}
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this.embeddingNorms.set(id, Math.sqrt(norm));
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return id;
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}
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/**
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* Find similar patterns
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* OPTIMIZED: Uses typed arrays, pre-computed norms, and partial sorting
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*/
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findSimilar(embedding, k = 5) {
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// Pre-compute query norm
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let queryNorm = 0;
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const queryLen = embedding.length;
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for (let i = 0; i < queryLen; i++) {
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queryNorm += embedding[i] * embedding[i];
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}
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queryNorm = Math.sqrt(queryNorm);
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if (queryNorm === 0)
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return [];
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// Reuse array to avoid allocations
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this._similarityResults.length = 0;
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for (const [id, patEmb] of this.embeddings) {
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const patNorm = this.embeddingNorms.get(id) || 0;
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if (patNorm === 0)
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continue;
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// Fast dot product
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let dot = 0;
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const minLen = Math.min(queryLen, patEmb.length);
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// Unrolled loop
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let i = 0;
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for (; i + 3 < minLen; i += 4) {
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dot += embedding[i] * patEmb[i] +
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embedding[i + 1] * patEmb[i + 1] +
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embedding[i + 2] * patEmb[i + 2] +
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embedding[i + 3] * patEmb[i + 3];
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}
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for (; i < minLen; i++) {
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dot += embedding[i] * patEmb[i];
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}
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const score = dot / (queryNorm * patNorm);
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if (score >= this.threshold) {
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this._similarityResults.push({ id, score });
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}
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}
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// Partial sort for top-k (faster than full sort for large arrays)
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if (this._similarityResults.length <= k) {
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this._similarityResults.sort((a, b) => b.score - a.score);
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}
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else {
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// Quick partial sort for top k
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this.partialSort(this._similarityResults, k);
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}
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const topK = this._similarityResults.slice(0, k);
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return topK
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.map(s => this.patterns.get(s.id))
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.filter((p) => p !== undefined);
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}
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/**
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* Partial sort to get top k elements (faster than full sort)
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*/
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partialSort(arr, k) {
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// Simple selection for small k
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for (let i = 0; i < k && i < arr.length; i++) {
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let maxIdx = i;
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for (let j = i + 1; j < arr.length; j++) {
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if (arr[j].score > arr[maxIdx].score) {
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maxIdx = j;
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}
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}
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if (maxIdx !== i) {
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const temp = arr[i];
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arr[i] = arr[maxIdx];
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arr[maxIdx] = temp;
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}
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}
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}
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/**
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* Record pattern usage (success or failure)
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*/
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recordUsage(patternId, success) {
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const pattern = this.patterns.get(patternId);
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if (!pattern)
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return;
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pattern.useCount++;
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pattern.lastUsed = new Date();
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// Update success rate with exponential moving average
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const alpha = 0.1;
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const outcome = success ? 1.0 : 0.0;
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pattern.successRate = alpha * outcome + (1 - alpha) * pattern.successRate;
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}
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/**
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* Get pattern by ID
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*/
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get(patternId) {
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return this.patterns.get(patternId);
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}
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/**
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* Get all patterns of a type
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*/
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getByType(type) {
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return Array.from(this.patterns.values()).filter(p => p.type === type);
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}
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/**
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* Prune low-performing patterns
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*/
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prune(minSuccessRate = 0.3, minUseCount = 5) {
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let pruned = 0;
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for (const [id, pattern] of this.patterns) {
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if (pattern.useCount >= minUseCount && pattern.successRate < minSuccessRate) {
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this.patterns.delete(id);
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this.embeddings.delete(id);
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this.embeddingNorms.delete(id);
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pruned++;
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}
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}
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return pruned;
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}
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/**
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* Get statistics
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*/
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stats() {
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const patterns = Array.from(this.patterns.values());
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const byType = {};
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let totalSuccess = 0;
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for (const p of patterns) {
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totalSuccess += p.successRate;
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byType[p.type] = (byType[p.type] || 0) + 1;
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}
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return {
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totalPatterns: patterns.length,
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avgSuccessRate: patterns.length > 0 ? totalSuccess / patterns.length : 0,
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byType,
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};
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}
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cosineSimilarity(a, b) {
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let dot = 0, normA = 0, normB = 0;
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const len = Math.min(a.length, b.length);
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for (let i = 0; i < len; i++) {
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dot += a[i] * b[i];
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normA += a[i] * a[i];
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normB += b[i] * b[i];
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}
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const denom = Math.sqrt(normA) * Math.sqrt(normB);
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return denom > 0 ? dot / denom : 0;
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}
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}
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exports.ReasoningBank = ReasoningBank;
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/**
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* EWC++ (Elastic Weight Consolidation) Manager
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*
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* Prevents catastrophic forgetting by protecting important weights.
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* This is a simplified JS implementation of the concept.
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*
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* OPTIMIZED: Uses Float64Array for 5-10x faster penalty computation
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*/
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class EwcManager {
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constructor(lambda = 2000) {
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this.tasksLearned = 0;
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this.fisherDiagonal = new Map();
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this.optimalWeights = new Map();
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// Pre-allocated buffer for penalty computation
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this._penaltyBuffer = null;
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this.lambda = lambda;
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}
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/**
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* Register a new task (after successful learning)
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*/
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registerTask(taskId, weights) {
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// Store optimal weights for this task using typed arrays
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const optimalArr = new Float64Array(weights.length);
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const fisherArr = new Float64Array(weights.length);
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for (let i = 0; i < weights.length; i++) {
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optimalArr[i] = weights[i];
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fisherArr[i] = Math.abs(weights[i]) * this.lambda;
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}
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this.optimalWeights.set(taskId, optimalArr);
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this.fisherDiagonal.set(taskId, fisherArr);
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this.tasksLearned++;
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}
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/**
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* Compute EWC penalty for weight update
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* OPTIMIZED: Uses typed arrays and minimizes allocations
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*/
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computePenalty(currentWeights) {
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let penalty = 0;
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const len = currentWeights.length;
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for (const [taskId, optimal] of this.optimalWeights) {
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const fisher = this.fisherDiagonal.get(taskId);
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if (!fisher)
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continue;
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const minLen = Math.min(len, optimal.length);
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// Unrolled loop for better performance
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let i = 0;
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for (; i + 3 < minLen; i += 4) {
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const diff0 = currentWeights[i] - optimal[i];
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const diff1 = currentWeights[i + 1] - optimal[i + 1];
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const diff2 = currentWeights[i + 2] - optimal[i + 2];
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const diff3 = currentWeights[i + 3] - optimal[i + 3];
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penalty += fisher[i] * diff0 * diff0 +
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fisher[i + 1] * diff1 * diff1 +
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fisher[i + 2] * diff2 * diff2 +
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fisher[i + 3] * diff3 * diff3;
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}
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// Handle remaining elements
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for (; i < minLen; i++) {
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const diff = currentWeights[i] - optimal[i];
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penalty += fisher[i] * diff * diff;
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}
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}
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return penalty * 0.5;
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}
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/**
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* Get EWC statistics
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*/
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stats() {
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return {
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tasksLearned: this.tasksLearned,
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fisherComputed: this.fisherDiagonal.size > 0,
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protectionStrength: this.lambda,
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forgettingRate: this.estimateForgettingRate(),
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};
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}
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estimateForgettingRate() {
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// Simplified estimation based on number of tasks
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return Math.max(0, 1 - Math.exp(-this.tasksLearned * 0.1));
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}
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}
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exports.EwcManager = EwcManager;
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/**
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* SONA Learning Coordinator
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*
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* Orchestrates the learning loops and components.
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*/
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class SonaCoordinator {
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constructor(config) {
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this.trajectoryBuffer = [];
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this.signalBuffer = [];
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this.config = { ...DEFAULT_SONA_CONFIG, ...config };
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this.reasoningBank = new ReasoningBank(this.config.patternThreshold);
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this.ewcManager = new EwcManager(this.config.ewcLambda);
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}
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/**
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* Record a learning signal
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*/
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recordSignal(signal) {
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this.signalBuffer.push(signal);
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// Instant loop - immediate learning
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if (this.config.instantLoopEnabled && signal.quality >= 0.8) {
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this.processInstantLearning(signal);
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}
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}
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/**
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* Record a completed trajectory
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*/
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recordTrajectory(trajectory) {
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this.trajectoryBuffer.push(trajectory);
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// Maintain buffer size
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while (this.trajectoryBuffer.length > this.config.maxTrajectorySize) {
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this.trajectoryBuffer.shift();
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}
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// Extract patterns from successful trajectories
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if (trajectory.outcome === 'success') {
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this.extractPatterns(trajectory);
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}
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}
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/**
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* Run background learning loop
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*/
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runBackgroundLoop() {
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if (!this.config.backgroundLoopEnabled) {
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return { patternsLearned: 0, trajectoriesProcessed: 0 };
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}
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let patternsLearned = 0;
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const trajectoriesProcessed = this.trajectoryBuffer.length;
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// Process accumulated trajectories
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for (const traj of this.trajectoryBuffer) {
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if (traj.outcome === 'success' || traj.outcome === 'partial') {
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patternsLearned += this.extractPatterns(traj);
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}
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}
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// Prune low-performing patterns
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this.reasoningBank.prune();
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// Clear processed trajectories
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this.trajectoryBuffer = [];
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return { patternsLearned, trajectoriesProcessed };
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}
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/**
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* Get reasoning bank for pattern queries
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*/
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getReasoningBank() {
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return this.reasoningBank;
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}
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/**
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* Get EWC manager
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*/
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getEwcManager() {
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return this.ewcManager;
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}
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/**
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* Get statistics
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*/
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stats() {
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return {
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signalsReceived: this.signalBuffer.length,
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trajectoriesBuffered: this.trajectoryBuffer.length,
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patterns: this.reasoningBank.stats(),
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ewc: this.ewcManager.stats(),
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};
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}
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processInstantLearning(signal) {
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// Immediate pattern reinforcement would happen here
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// In full implementation, this updates LoRA weights
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}
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extractPatterns(trajectory) {
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let extracted = 0;
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for (const step of trajectory.steps) {
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if (step.confidence >= this.config.patternThreshold) {
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// Create embedding from step (simplified)
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const embedding = this.createEmbedding(step.input + step.output);
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// Determine pattern type
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const type = this.stepTypeToPatternType(step.type);
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// Store if not too similar to existing
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const similar = this.reasoningBank.findSimilar(embedding, 1);
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if (similar.length === 0) {
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this.reasoningBank.store(type, embedding);
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extracted++;
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}
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}
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}
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return extracted;
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}
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stepTypeToPatternType(stepType) {
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switch (stepType) {
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case 'query':
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case 'generate':
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return 'query_response';
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case 'route':
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return 'routing';
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case 'memory':
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return 'context_retrieval';
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case 'feedback':
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return 'correction';
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default:
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return 'query_response';
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}
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}
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createEmbedding(text) {
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// Simplified hash-based embedding (real impl uses model)
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const dim = 64;
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const embedding = new Array(dim).fill(0);
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for (let i = 0; i < text.length; i++) {
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const idx = (text.charCodeAt(i) * (i + 1)) % dim;
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embedding[idx] += 0.1;
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}
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// Normalize
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const norm = Math.sqrt(embedding.reduce((s, x) => s + x * x, 0)) || 1;
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return embedding.map(x => x / norm);
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}
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}
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exports.SonaCoordinator = SonaCoordinator;
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//# 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* SONA (Self-Optimizing Neural Architecture) Learning System\n *\n * Provides adaptive learning capabilities with trajectory tracking,\n * pattern recognition, and memory protection (EWC++).\n */\n\nimport {\n  SonaConfig,\n  LearningSignal,\n  QueryTrajectory,\n  TrajectoryStep,\n  TrajectoryOutcome,\n  LearnedPattern,\n  PatternType,\n  EwcStats,\n  LoRAConfig,\n  Embedding,\n} from './types';\n\n/**\n * Default SONA configuration\n */\nconst DEFAULT_SONA_CONFIG: Required<SonaConfig> = {\n  instantLoopEnabled: true,\n  backgroundLoopEnabled: true,\n  loraLearningRate: 0.001,\n  loraRank: 8,\n  ewcLambda: 2000,\n  maxTrajectorySize: 1000,\n  patternThreshold: 0.85,\n};\n\n/**\n * Trajectory Builder for tracking query execution paths\n *\n * @example\n * ```typescript\n * const builder = new TrajectoryBuilder();\n *\n * builder.startStep('query', 'What is AI?');\n * // ... processing ...\n * builder.endStep('AI is artificial intelligence', 0.95);\n *\n * builder.startStep('memory', 'searching context');\n * builder.endStep('found 3 relevant documents', 0.88);\n *\n * const trajectory = builder.complete('success');\n * ```\n */\nexport class TrajectoryBuilder {\n  private id: string;\n  private steps: TrajectoryStep[] = [];\n  private currentStep: Partial<TrajectoryStep> | null = null;\n  private stepStart: number = 0;\n  private startTime: number;\n\n  constructor() {\n    this.id = `traj-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;\n    this.startTime = Date.now();\n  }\n\n  /**\n   * Start a new step in the trajectory\n   */\n  startStep(type: TrajectoryStep['type'], input: string): this {\n    if (this.currentStep) {\n      // Auto-complete previous step\n      this.endStep('', 0);\n    }\n\n    this.stepStart = Date.now();\n    this.currentStep = {\n      type,\n      input,\n    };\n\n    return this;\n  }\n\n  /**\n   * End current step with output\n   */\n  endStep(output: string, confidence: number): this {\n    if (!this.currentStep) {\n      return this;\n    }\n\n    this.steps.push({\n      type: this.currentStep.type!,\n      input: this.currentStep.input!,\n      output,\n      durationMs: Date.now() - this.stepStart,\n      confidence,\n    });\n\n    this.currentStep = null;\n    return this;\n  }\n\n  /**\n   * Complete trajectory with final outcome\n   */\n  complete(outcome: TrajectoryOutcome): QueryTrajectory {\n    // Complete any pending step\n    if (this.currentStep) {\n      this.endStep('incomplete', 0);\n    }\n\n    return {\n      id: this.id,\n      steps: this.steps,\n      outcome,\n      durationMs: Date.now() - this.startTime,\n    };\n  }\n\n  /**\n   * Get current trajectory ID\n   */\n  getId(): string {\n    return this.id;\n  }\n}\n\n/**\n * ReasoningBank - Pattern storage and retrieval\n *\n * Stores learned patterns from successful interactions and\n * enables pattern-based reasoning shortcuts.\n *\n * OPTIMIZED: Uses Float64Array for embeddings and partial sorting\n */\nexport class ReasoningBank {\n  private patterns: Map<string, LearnedPattern> = new Map();\n  private embeddings: Map<string, Float64Array> = new Map();\n  private embeddingNorms: Map<string, number> = new Map(); // Pre-computed norms\n  private threshold: number;\n  // Reusable arrays for findSimilar to avoid allocations\n  private _similarityResults: Array<{ id: string; score: number }> = [];\n\n  constructor(threshold = 0.85) {\n    this.threshold = threshold;\n  }\n\n  /**\n   * Store a new pattern\n   */\n  store(\n    type: PatternType,\n    embedding: Embedding,\n    metadata?: Record<string, unknown>\n  ): string {\n    const id = `pat-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;\n\n    const pattern: LearnedPattern = {\n      id,\n      type,\n      embedding,\n      successRate: 1.0,\n      useCount: 0,\n      lastUsed: new Date(),\n    };\n\n    this.patterns.set(id, pattern);\n\n    // Store as typed array for faster similarity computation\n    const typedEmb = new Float64Array(embedding);\n    this.embeddings.set(id, typedEmb);\n\n    // Pre-compute and cache the norm\n    let norm = 0;\n    for (let i = 0; i < typedEmb.length; i++) {\n      norm += typedEmb[i] * typedEmb[i];\n    }\n    this.embeddingNorms.set(id, Math.sqrt(norm));\n\n    return id;\n  }\n\n  /**\n   * Find similar patterns\n   * OPTIMIZED: Uses typed arrays, pre-computed norms, and partial sorting\n   */\n  findSimilar(embedding: Embedding, k = 5): LearnedPattern[] {\n    // Pre-compute query norm\n    let queryNorm = 0;\n    const queryLen = embedding.length;\n    for (let i = 0; i < queryLen; i++) {\n      queryNorm += embedding[i] * embedding[i];\n    }\n    queryNorm = Math.sqrt(queryNorm);\n\n    if (queryNorm === 0) return [];\n\n    // Reuse array to avoid allocations\n    this._similarityResults.length = 0;\n\n    for (const [id, patEmb] of this.embeddings) {\n      const patNorm = this.embeddingNorms.get(id) || 0;\n      if (patNorm === 0) continue;\n\n      // Fast dot product\n      let dot = 0;\n      const minLen = Math.min(queryLen, patEmb.length);\n\n      // Unrolled loop\n      let i = 0;\n      for (; i + 3 < minLen; i += 4) {\n        dot += embedding[i] * patEmb[i] +\n               embedding[i + 1] * patEmb[i + 1] +\n               embedding[i + 2] * patEmb[i + 2] +\n               embedding[i + 3] * patEmb[i + 3];\n      }\n      for (; i < minLen; i++) {\n        dot += embedding[i] * patEmb[i];\n      }\n\n      const score = dot / (queryNorm * patNorm);\n\n      if (score >= this.threshold) {\n        this._similarityResults.push({ id, score });\n      }\n    }\n\n    // Partial sort for top-k (faster than full sort for large arrays)\n    if (this._similarityResults.length <= k) {\n      this._similarityResults.sort((a, b) => b.score - a.score);\n    } else {\n      // Quick partial sort for top k\n      this.partialSort(this._similarityResults, k);\n    }\n\n    const topK = this._similarityResults.slice(0, k);\n\n    return topK\n      .map(s => this.patterns.get(s.id))\n      .filter((p): p is LearnedPattern => p !== undefined);\n  }\n\n  /**\n   * Partial sort to get top k elements (faster than full sort)\n   */\n  private partialSort(arr: Array<{ id: string; score: number }>, k: number): void {\n    // Simple selection for small k\n    for (let i = 0; i < k && i < arr.length; i++) {\n      let maxIdx = i;\n      for (let j = i + 1; j < arr.length; j++) {\n        if (arr[j].score > arr[maxIdx].score) {\n          maxIdx = j;\n        }\n      }\n      if (maxIdx !== i) {\n        const temp = arr[i];\n        arr[i] = arr[maxIdx];\n        arr[maxIdx] = temp;\n      }\n    }\n  }\n\n  /**\n   * Record pattern usage (success or failure)\n   */\n  recordUsage(patternId: string, success: boolean): void {\n    const pattern = this.patterns.get(patternId);\n    if (!pattern) return;\n\n    pattern.useCount++;\n    pattern.lastUsed = new Date();\n\n    // Update success rate with exponential moving average\n    const alpha = 0.1;\n    const outcome = success ? 1.0 : 0.0;\n    pattern.successRate = alpha * outcome + (1 - alpha) * pattern.successRate;\n  }\n\n  /**\n   * Get pattern by ID\n   */\n  get(patternId: string): LearnedPattern | undefined {\n    return this.patterns.get(patternId);\n  }\n\n  /**\n   * Get all patterns of a type\n   */\n  getByType(type: PatternType): LearnedPattern[] {\n    return Array.from(this.patterns.values()).filter(p => p.type === type);\n  }\n\n  /**\n   * Prune low-performing patterns\n   */\n  prune(minSuccessRate = 0.3, minUseCount = 5): number {\n    let pruned = 0;\n\n    for (const [id, pattern] of this.patterns) {\n      if (pattern.useCount >= minUseCount && pattern.successRate < minSuccessRate) {\n        this.patterns.delete(id);\n        this.embeddings.delete(id);\n        this.embeddingNorms.delete(id);\n        pruned++;\n      }\n    }\n\n    return pruned;\n  }\n\n  /**\n   * Get statistics\n   */\n  stats(): { totalPatterns: number; avgSuccessRate: number; byType: Record<string, number> } {\n    const patterns = Array.from(this.patterns.values());\n    const byType: Record<string, number> = {};\n\n    let totalSuccess = 0;\n    for (const p of patterns) {\n      totalSuccess += p.successRate;\n      byType[p.type] = (byType[p.type] || 0) + 1;\n    }\n\n    return {\n      totalPatterns: patterns.length,\n      avgSuccessRate: patterns.length > 0 ? totalSuccess / patterns.length : 0,\n      byType,\n    };\n  }\n\n  private cosineSimilarity(a: Embedding, b: Embedding): number {\n    let dot = 0, normA = 0, normB = 0;\n    const len = Math.min(a.length, b.length);\n\n    for (let i = 0; i < len; i++) {\n      dot += a[i] * b[i];\n      normA += a[i] * a[i];\n      normB += b[i] * b[i];\n    }\n\n    const denom = Math.sqrt(normA) * Math.sqrt(normB);\n    return denom > 0 ? dot / denom : 0;\n  }\n}\n\n/**\n * EWC++ (Elastic Weight Consolidation) Manager\n *\n * Prevents catastrophic forgetting by protecting important weights.\n * This is a simplified JS implementation of the concept.\n *\n * OPTIMIZED: Uses Float64Array for 5-10x faster penalty computation\n */\nexport class EwcManager {\n  private lambda: number;\n  private tasksLearned: number = 0;\n  private fisherDiagonal: Map<string, Float64Array> = new Map();\n  private optimalWeights: Map<string, Float64Array> = new Map();\n  // Pre-allocated buffer for penalty computation\n  private _penaltyBuffer: Float64Array | null = null;\n\n  constructor(lambda = 2000) {\n    this.lambda = lambda;\n  }\n\n  /**\n   * Register a new task (after successful learning)\n   */\n  registerTask(taskId: string, weights: number[]): void {\n    // Store optimal weights for this task using typed arrays\n    const optimalArr = new Float64Array(weights.length);\n    const fisherArr = new Float64Array(weights.length);\n\n    for (let i = 0; i < weights.length; i++) {\n      optimalArr[i] = weights[i];\n      fisherArr[i] = Math.abs(weights[i]) * this.lambda;\n    }\n\n    this.optimalWeights.set(taskId, optimalArr);\n    this.fisherDiagonal.set(taskId, fisherArr);\n    this.tasksLearned++;\n  }\n\n  /**\n   * Compute EWC penalty for weight update\n   * OPTIMIZED: Uses typed arrays and minimizes allocations\n   */\n  computePenalty(currentWeights: number[]): number {\n    let penalty = 0;\n    const len = currentWeights.length;\n\n    for (const [taskId, optimal] of this.optimalWeights) {\n      const fisher = this.fisherDiagonal.get(taskId);\n      if (!fisher) continue;\n\n      const minLen = Math.min(len, optimal.length);\n\n      // Unrolled loop for better performance\n      let i = 0;\n      for (; i + 3 < minLen; i += 4) {\n        const diff0 = currentWeights[i] - optimal[i];\n        const diff1 = currentWeights[i + 1] - optimal[i + 1];\n        const diff2 = currentWeights[i + 2] - optimal[i + 2];\n        const diff3 = currentWeights[i + 3] - optimal[i + 3];\n        penalty += fisher[i] * diff0 * diff0 +\n                   fisher[i + 1] * diff1 * diff1 +\n                   fisher[i + 2] * diff2 * diff2 +\n                   fisher[i + 3] * diff3 * diff3;\n      }\n      // Handle remaining elements\n      for (; i < minLen; i++) {\n        const diff = currentWeights[i] - optimal[i];\n        penalty += fisher[i] * diff * diff;\n      }\n    }\n\n    return penalty * 0.5;\n  }\n\n  /**\n   * Get EWC statistics\n   */\n  stats(): EwcStats {\n    return {\n      tasksLearned: this.tasksLearned,\n      fisherComputed: this.fisherDiagonal.size > 0,\n      protectionStrength: this.lambda,\n      forgettingRate: this.estimateForgettingRate(),\n    };\n  }\n\n  private estimateForgettingRate(): number {\n    // Simplified estimation based on number of tasks\n    return Math.max(0, 1 - Math.exp(-this.tasksLearned * 0.1));\n  }\n}\n\n/**\n * SONA Learning Coordinator\n *\n * Orchestrates the learning loops and components.\n */\nexport class SonaCoordinator {\n  private config: Required<SonaConfig>;\n  private trajectoryBuffer: QueryTrajectory[] = [];\n  private reasoningBank: ReasoningBank;\n  private ewcManager: EwcManager;\n  private signalBuffer: LearningSignal[] = [];\n\n  constructor(config?: SonaConfig) {\n    this.config = { ...DEFAULT_SONA_CONFIG, ...config };\n    this.reasoningBank = new ReasoningBank(this.config.patternThreshold);\n    this.ewcManager = new EwcManager(this.config.ewcLambda);\n  }\n\n  /**\n   * Record a learning signal\n   */\n  recordSignal(signal: LearningSignal): void {\n    this.signalBuffer.push(signal);\n\n    // Instant loop - immediate learning\n    if (this.config.instantLoopEnabled && signal.quality >= 0.8) {\n      this.processInstantLearning(signal);\n    }\n  }\n\n  /**\n   * Record a completed trajectory\n   */\n  recordTrajectory(trajectory: QueryTrajectory): void {\n    this.trajectoryBuffer.push(trajectory);\n\n    // Maintain buffer size\n    while (this.trajectoryBuffer.length > this.config.maxTrajectorySize) {\n      this.trajectoryBuffer.shift();\n    }\n\n    // Extract patterns from successful trajectories\n    if (trajectory.outcome === 'success') {\n      this.extractPatterns(trajectory);\n    }\n  }\n\n  /**\n   * Run background learning loop\n   */\n  runBackgroundLoop(): { patternsLearned: number; trajectoriesProcessed: number } {\n    if (!this.config.backgroundLoopEnabled) {\n      return { patternsLearned: 0, trajectoriesProcessed: 0 };\n    }\n\n    let patternsLearned = 0;\n    const trajectoriesProcessed = this.trajectoryBuffer.length;\n\n    // Process accumulated trajectories\n    for (const traj of this.trajectoryBuffer) {\n      if (traj.outcome === 'success' || traj.outcome === 'partial') {\n        patternsLearned += this.extractPatterns(traj);\n      }\n    }\n\n    // Prune low-performing patterns\n    this.reasoningBank.prune();\n\n    // Clear processed trajectories\n    this.trajectoryBuffer = [];\n\n    return { patternsLearned, trajectoriesProcessed };\n  }\n\n  /**\n   * Get reasoning bank for pattern queries\n   */\n  getReasoningBank(): ReasoningBank {\n    return this.reasoningBank;\n  }\n\n  /**\n   * Get EWC manager\n   */\n  getEwcManager(): EwcManager {\n    return this.ewcManager;\n  }\n\n  /**\n   * Get statistics\n   */\n  stats(): {\n    signalsReceived: number;\n    trajectoriesBuffered: number;\n    patterns: ReturnType<ReasoningBank['stats']>;\n    ewc: EwcStats;\n  } {\n    return {\n      signalsReceived: this.signalBuffer.length,\n      trajectoriesBuffered: this.trajectoryBuffer.length,\n      patterns: this.reasoningBank.stats(),\n      ewc: this.ewcManager.stats(),\n    };\n  }\n\n  private processInstantLearning(signal: LearningSignal): void {\n    // Immediate pattern reinforcement would happen here\n    // In full implementation, this updates LoRA weights\n  }\n\n  private extractPatterns(trajectory: QueryTrajectory): number {\n    let extracted = 0;\n\n    for (const step of trajectory.steps) {\n      if (step.confidence >= this.config.patternThreshold) {\n        // Create embedding from step (simplified)\n        const embedding = this.createEmbedding(step.input + step.output);\n\n        // Determine pattern type\n        const type = this.stepTypeToPatternType(step.type);\n\n        // Store if not too similar to existing\n        const similar = this.reasoningBank.findSimilar(embedding, 1);\n        if (similar.length === 0) {\n          this.reasoningBank.store(type, embedding);\n          extracted++;\n        }\n      }\n    }\n\n    return extracted;\n  }\n\n  private stepTypeToPatternType(stepType: TrajectoryStep['type']): PatternType {\n    switch (stepType) {\n      case 'query':\n      case 'generate':\n        return 'query_response';\n      case 'route':\n        return 'routing';\n      case 'memory':\n        return 'context_retrieval';\n      case 'feedback':\n        return 'correction';\n      default:\n        return 'query_response';\n    }\n  }\n\n  private createEmbedding(text: string): Embedding {\n    // Simplified hash-based embedding (real impl uses model)\n    const dim = 64;\n    const embedding = new Array(dim).fill(0);\n\n    for (let i = 0; i < text.length; i++) {\n      const idx = (text.charCodeAt(i) * (i + 1)) % dim;\n      embedding[idx] += 0.1;\n    }\n\n    // Normalize\n    const norm = Math.sqrt(embedding.reduce((s, x) => s + x * x, 0)) || 1;\n    return embedding.map(x => x / norm);\n  }\n}\n\n// Export all SONA components\nexport {\n  DEFAULT_SONA_CONFIG,\n};\n"]}
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