Whitepaper

This section contains the CLE-Net whitepaper.

• Abstract
  • Keywords
• 1. Introduction
  • 1.1 The Problem with Current AI Systems
  • 1.2 The Opportunity
  • 1.3 Our Contribution
  • 1.4 Paper Structure
  • 1.5 Key Claims
  • 1.6 Scope and Non-Goals
• Cognitive Contribution Score (CCS)
  • 1. Purpose of CCS
  • 2. CCS Definition
  • 3. CCS Components
  • 4. Law Quality Score ($Q_a$)
  • 5. Law Survival Score ($S_a$)
  • 6. Resolution Contribution ($R_a$)
  • 7. Uptime Score ($U_a$)
  • 8. Penalty Term ($P_a$)
  • 9. CCS Decay
  • 10. Implementation Considerations
  • 11. Related Documents
• Law Conflict Resolution Algorithm
  • 1. What is a Conflict?
  • 2. Law Representation
  • 3. Conflict Resolution Pipeline
  • 4. Formal Algorithm
  • 5. Meta-Law Generation
  • 6. Example Resolution
  • 7. Properties
  • 8. Implementation Notes
  • 9. Related Documents
• CLE-Net: Decentralized Cognitive Agent Network
  • A Complete Whitepaper
  • Abstract
  • Table of Contents
  • 1. Introduction
  • 2. System Architecture
  • 3. Cognitive Logic Extraction
  • 4. Proof of Cognition Consensus
  • 5. Cognitive Contribution Score
  • 6. Law Conflict Resolution
  • 7. P2P Network Layer
  • 8. Threat Model
  • 9. Implementation
  • 10. Related Work
  • 11. Limitations and Future Directions
  • 12. Conclusion
  • References