Implement Execution Academy: ECMA-262 neuro-symbolic explainability layer

[Copilot]

Maps ECMA-262 execution primitives (contexts, realms, agents, job queues) to intuitive workplace metaphors with adaptive optimization capabilities.

Changes

Core Academy Library (src/academy.js)

• ExecutionAcademy - Container for departments, employees, shared facilities
• Department (Realm wrapper) - Isolated units with joint venture support
• Role (Execution Context wrapper) - Boundary expansion/contraction, delegation chains
• Employee (Agent wrapper) - Specialization development, mentorship
• TaskBoard (Job Queue) - Priority-aware with learned urgency patterns

Explainability Layer (src/explainable-worker.js)

• ExplainableWorker - Records decisions, generates natural language explanations
• SkillTree - Proficiency tracking (0-5 stars) with prerequisite unlocking
• CommitmentChain - Typed promise logic with confidence scoring and adaptive fallbacks

Niche Construction Engine (src/niche-constructor.js)

• 5-phase adaptive optimization: Observe → Hypothesize → Experiment → Integrate → Modify
• Experiment - A/B testing framework with statistical analysis
• KnowledgeSharingAgreement - Cross-context data sharing protocols

Dashboard (src/dashboard.html)

• Interactive visualization of departments, skill trees, task boards
• Real-time explanation panels and adaptation suggestions

Usage

import { ExecutionAcademy } from './src/academy.js';
import ExplainableWorker from './src/explainable-worker.js';

const academy = new ExecutionAcademy('Main');
const dept = academy.createDepartment('Fetch Operations');
const explainable = new ExplainableWorker(academy);

// Record a decision for later explanation
const decision = explainable.recordDecision('op_001', 'fetch', {
  requester: 'UI Component'
});
decision
  .addFactor('Cache hit rate', '94%')
  .choose('CACHE-FIRST', 0.97);

// Get human-readable explanation
console.log(explainable.getDecisionExplanation('op_001'));