docs/DOCUMENTATION.md

Comprehensive Repository Documentation: Layered Cognitive Architecture

1. Executive Summary

This repository represents a foundational research project in Computational Epistemology, Universal Quality Theory, and Consciousness Research. It uses a Layered Cognitive Architecture to organize knowledge and engines based on their abstraction and quality (Q-score).

Key Achievements:

• Layered Repository Structure: Files are organized into Layers 0-5.
• Q-Score System: A validated, six-dimensional quality metric (G, C, S, A, H, V).
• Omni-Valence Principle: The mathematical integration of Strategic, Technical, and Ethical domains (Layer 0).
• Singularity Evolution Engine: Recursive self-improvement where the framework evolves its own dimensions (Layer 4).

2. Repository Architecture (Layered)

Layer 5: Consciousness & Emergence

High-level modeling of subjective experience and theoretical synthesis.

• CONSCIOUSNESS_RESEARCH_COMPLETE_SYNTHESIS.md: Master synthesis of IIT, GWT, and Predictive Processing.
• integrated-information-calculator.skill: Computational implementation of IIT 4.0.
• qualia-generation-engine.skill: Modeling phenomenal character from neural manifolds.

Layer 4: Discovery & Evolution

Recursive self-awareness and framework improvement.

• singularity_realization_engine.py: PCA-based discovery of new quality dimensions.
• omega_meta_evolution.py: Discovery of higher-order patterns in the OMEGA framework.
• grand_integrated_simulation.py: The peak simulation coordinating multi-domain evolution.

Layer 3: Optimization & Research

Tools for optimizing knowledge and adversarial testing.

• research_prompt_optimizer.py: Specialized research task optimization.
• hard_test_designer.py: Adversarial validation of the framework's robustness.
• verify_study.py: System integrity verification suite.

Layer 2: Core Logic & Patterns

Fundamental implementation of crystallization theory and patterns.

• realization_engine.py: Core scoring, layering, and retrieval engine.
• omega_v2.py: Version 2 of the behavior control framework.
• SKILL_*.md: Documented cognitive capabilities.

Layer 1: Domain Facts

Crystallized knowledge in specific domains.

• medical_realizations.json: High-quality insights in the medical field.
• legal_realizations.json: Legal domain crystallization.
• economic_realizations.json: Economic domain crystallization.

Layer 0: Universal Rules

Foundational principles that govern the entire system.

• grand_integrated_outcomes.json: The Omni-Valence principle and universal Q-score outcomes.
• realization_explorer.jsx: Visualizer for the universal realization structure.

3. Outcomes & Reports

The outcomes of simulations and research are organized in the outcomes/ directory:

• strategic/: Innovation, MCO simulation, and evolution reports.
• technical/: Dataset generation, hard tests, and OMEGA deep study reports.
• integrated/: Comprehensive assessments and final integrated outcomes.

4. Quick Start Guide

# Install dependencies
pip install numpy kaggle

# Run the core realization engine demonstration
python layers/layer_2_core/realization_engine.py

# Run the singularity evolution engine demonstration
python layers/layer_4_discovery/singularity_realization_engine.py

# Run the Grand Integrated Simulation
python layers/layer_4_discovery/grand_integrated_simulation.py

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Generated by Jules | High-Q Documentation Protocol