CLE-Net

Contents:

  • Getting Started
  • Glossary
    • A
      • Agent
      • Atom
    • B
      • Blockchain Layer
    • C
      • CLE
      • CLE-Net
      • Consensus
      • Context
      • Contradiction
    • D
      • Decay
      • Discovery
    • E
      • Event
      • Evidence
    • G
      • Genesis State
    • I
      • Independence
      • Independence Score
    • K
      • Knowledge Graph
    • L
      • Ledger
      • Logic Form
    • M
      • Mining
    • N
      • Node
    • P
      • PoC
      • Predicate
    • R
      • Rule
      • Rule Candidate
      • Rule Cluster
      • Rule Commit
    • S
      • Semantic Atomizer
      • Symbol
      • Symbolic Regression
      • Symbolic Reasoning
      • Enhanced Symbolic Regression
      • Genetic Programming (GP)
      • Temporal Pattern Recognition
      • Uncertainty Quantification
      • Multi-Modal Input
      • Full-Duplex Interaction
      • OCR (Optical Character Recognition)
      • Graph RAG
    • T
      • Temporal Graph
      • Threshold
    • V
      • Validation
    • W
      • Watchdog
    • Related Documents
  • Architecture Documentation
    • System Overview
      • 1. Introduction
        • 1.1 Core Philosophy
        • 1.2 What CLE-Net Is Not
        • 1.3 What CLE-Net Is
      • 2. High-Level Architecture
      • 3. Core Layers
        • 3.1 Human Interaction Layer
        • 3.2 CLE Agent Layer
        • 3.3 Cognitive Graph Layer
        • 3.4 Blockchain / Consensus Layer
        • 3.5 Distributed Node Layer
      • 4. Data Flow
        • 4.1 Forward Flow (Knowledge Discovery)
        • 4.2 Feedback Flow (Learning)
      • 5. Key Innovations
        • 5.1 Symbolic + Neural Hybrid
        • 5.2 Proof of Cognition
        • 5.3 Contradiction as Signal
        • 5.4 Persistence Through Transformation
      • 6. Limitations
        • 6.1 Current Limitations
        • 6.2 Fundamental Limitations
      • 7. Next Steps
    • Agent Architecture
      • 1. Overview
      • 2. Agent Components
        • 2.1 Input Handlers
        • 2.2 Event Stream
        • 2.3 Semantic Atomizer
        • 2.4 Symbol Mapper
        • 2.5 Symbolic Regression Engine
        • 2.6 Enhanced Symbolic Regression ✅ PHASE 3 - COMPLETED
        • 2.7 Multi-Modal Input Processing ✅ PHASE 3 - COMPLETED
        • 2.6 Rule Manager
        • 2.7 Consensus Engine
        • 2.8 Blockchain Interface
      • 3. Agent State
        • 3.1 Local State Structure
        • 3.2 State Persistence
        • 3.3 State Migration
      • 4. Agent Lifecycle
      • 5. Configuration
        • 5.1 Core Parameters
      • 6. Failure Modes
        • 6.1 Crash Recovery
        • 6.2 Network Partition
        • 6.3 Data Corruption
      • 7. Security
        • 7.1 Agent Identity
        • 7.2 Communication Security
      • 8. Related Documents
    • Proof of Cognition (PoC) Consensus Model
      • 1. Motivation
      • 2. Core Idea: Proof of Cognition
        • 2.1 Intuition
        • 2.2 Formal Definition
      • 3. Key Concepts
        • 3.1 Cognitive Agent (Node)
        • 3.2 Rule Candidate
        • 3.3 Rule Commitment
        • 3.4 Rule Matching
      • 4. Consensus Conditions
        • 4.1 Mandatory Conditions
        • 4.2 Independence Score
        • 4.3 Confidence Calculation
      • 5. Contradiction Handling
        • 5.1 Contradictions Are Signals
        • 5.2 Handling Process
        • 5.3 Context Separation
        • 5.4 Confidence Decay
      • 6. Incentive Mechanism
        • 6.1 Mining = Thinking
        • 6.2 Reward Function
        • 6.3 Sybil Resistance
      • 7. Formal Specification
        • 7.1 Consensus Algorithm
        • 7.2 Acceptance Criteria
      • 8. Why PoC Is Different
      • 9. Limitations
        • 9.1 Known Weaknesses
        • 9.2 Mitigation Strategies
        • 9.3 Honest Acknowledgment
      • 10. Implementation Notes
        • 10.1 Message Types
        • 10.2 Performance Considerations
        • 10.3 Monitoring Metrics
      • 11. Related Documents
    • Threat Model
      • 1. Security Philosophy
        • 1.1 Explicit Non-Goals
        • 1.2 What CLE-Net Does Guarantee
        • 1.3 Why This Honesty Matters
      • 2. System Assets
        • 2.1 Primary Assets (Must Protect)
        • 2.2 Secondary Assets (Should Protect)
      • 3. Adversary Model
        • 3.1 Assumed Capabilities
        • 3.2 Not Assumed
      • 4. Threat Categories
        • T1: Single Malicious Agent
        • T2: Rule Spam Attack
        • T3: Sybil Attack (Critical Analysis)
        • T4: Coordinated False Consensus
        • T5: Data Poisoning
        • T6: Blockchain-Level Attacks
        • T7: Privacy Leakage
        • T8: Model Exploitation
        • T9: Emergent Harmful Rules
      • 5. Attack Surface Summary
      • 6. Security Principles Applied
        • 6.1 Defense in Depth
        • 6.2 Transparency Over Illusion
        • 6.3 Failure Tolerance
      • 7. Mitigation Priorities
        • 7.1 High Priority
        • 7.2 Medium Priority
        • 7.3 Ongoing
      • 8. GitHub-Ready Statement
      • 9. Critical Reality Check
      • 10. Related Documents
  • Cosmos SDK Integration
    • CLE-Net Cosmos SDK Architecture
      • Overview
      • Why Cosmos SDK?
        • ✅ Advantages
        • ❌ Rejected Alternatives
      • Architecture Diagram
      • Module Structure
        • 1. Cognitive Module (core/cosmos/x/cognitive/)
        • 2. Laws Module (core/cosmos/x/laws/)
        • 3. Consensus Module (core/cosmos/x/consensus/)
      • On-Chain State
        • Cognitive State Block (CSB)
        • Cognitive Law
        • Cognitive Contribution Score (CCS)
        • Validator Information
      • Consensus Mechanism
        • Proof of Cognition (PoC)
        • Tendermint BFT Integration
      • Off-Chain Processing
        • On-Chain (Consensus)
        • Off-Chain (Computation)
      • Migration Path
        • Phase 1: Cosmos SDK v1 (Current)
        • Phase 2: Custom Chain (Future)
        • Phase 3: IBC Integration (Future)
      • Security Considerations
        • Validator Security
        • Law Security
        • Network Security
      • Performance Considerations
        • Throughput
        • Latency
        • Storage
      • References
      • Next Steps
    • CLE-Net Validator Roles
      • Overview
      • Validator Roles
        • 1. Cognitive Miner
        • 2. State Validator
        • 3. Conflict Resolver
        • 4. Watchdog
      • Validator Registration
        • Registration Process
        • Registration Example
        • Role Changes
      • Validator Rewards
        • CCS Distribution
        • Reward Calculation
        • Reward Distribution
      • Validator Slashing
        • Slashing Conditions
        • Slashing Penalties
        • Slashing Example
      • Validator Governance
        • Voting Rights
        • Voting Process
        • Voting Example
      • Validator Requirements Summary
      • Next Steps
      • References
    • CLE-Net Migration Path
      • Overview
      • Phase 1: Cosmos SDK v1 (Current)
        • Status
        • Description
        • Architecture
        • Features
        • Technical Stack
        • Limitations
        • Timeline
        • Exit Criteria
        • Decision Point: Phase 2
      • Phase 2: Custom Chain (Future)
        • Status
        • Description
        • Architecture
        • Features
        • Technical Stack
        • Key Improvements
        • Migration Strategy
        • Timeline
        • Exit Criteria
        • Decision Point: Phase 3
      • Phase 3: IBC Integration (Future)
        • Status
        • Description
        • Architecture
        • Features
        • Technical Stack
        • Key Improvements
        • IBC Use Cases
        • Migration Strategy
        • Timeline
        • Exit Criteria
      • Migration Decision Matrix
      • Recommendations
        • For Phase 1 (Current)
        • For Phase 2 (Future)
        • For Phase 3 (Future)
      • Risks and Mitigations
        • Phase 1 Risks
        • Phase 2 Risks
        • Phase 3 Risks
      • Conclusion
      • References
  • Protocol Documentation
    • CLE-Net Protocol Specification: Message Formats
      • 1. Overview
      • 2. Message Envelope
        • Envelope Fields
      • 3. Message Types
        • 3.1 Rule Commit Message
        • 3.2 Challenge Message
        • 3.3 Confirm Message
        • 3.4 Query Message
        • 3.5 Response Message
        • 3.6 Error Message
        • 3.7 State Sync Message
        • 3.8 Gossip Message
      • 4. Phase 3 Message Types ✅ NEW
        • 4.1 Multi-Modal Input Message
        • 4.2 Enhanced Symbolic Regression Message
        • 4.3 Full-Duplex Control Message
      • 5. State Models
        • 4.1 Agent State
        • 4.2 Rule State
        • 4.3 Ledger State
      • 5. Protocol Constants
      • 6. Serialization
        • Example Serialization
      • 7. Security
        • 7.1 Signing
        • 7.2 Verification
        • 7.3 Encryption
      • 8. Related Documents
    • CLE-Net P2P Network Layer Design
      • 1. Overview
      • 2. Network Topology
        • 2.1 Hybrid Topology
        • 2.2 Connection Types
      • 3. Node Discovery
        • 3.1 Bootstrap List
        • 3.2 Discovery Protocol
        • 3.3 Peer Exchange
      • 4. Message Routing
        • 4.1 Direct Routing
        • 4.2 Gossip Routing
        • 4.3 Routing Table
      • 5. Gossip Protocol
        • 5.1 Message Types
        • 5.2 Gossip Message Format
        • 5.3 Gossip Algorithm
        • 5.4 Anti-Entropy
      • 6. State Synchronization
        • 6.1 Sync Protocol
        • 6.2 Checkpoint Format
      • 7. Connection Management
        • 7.1 Connection Lifecycle
        • 7.2 Handshake Protocol
        • 7.3 Heartbeat
      • 8. Security
        • 8.1 Node Authentication
        • 8.2 Message Signing
        • 8.3 Flood Prevention
      • 9. Performance
        • 9.1 Target Metrics
        • 9.2 Scalability
      • 10. Implementation
        • 10.1 Core Components
      • 11. Related Documents
  • Whitepaper
    • Abstract
      • Keywords
    • 1. Introduction
      • 1.1 The Problem with Current AI Systems
      • 1.2 The Opportunity
      • 1.3 Our Contribution
        • 1.3.1 Cognitive Logic Extraction (CLE)
        • 1.3.2 Proof of Cognition (PoC)
        • 1.3.3 Decentralized Cognitive Persistence
      • 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
        • 10.1 Weight Configuration
        • 10.2 Decay Parameters
        • 10.3 Minimum Requirements
      • 11. Related Documents
    • Law Conflict Resolution Algorithm
      • 1. What is a Conflict?
      • 2. Law Representation
      • 3. Conflict Resolution Pipeline
        • Step 1: Detection
        • Step 2: Context Expansion
        • Step 3: Dominance Evaluation
        • Step 4: Resolution Decision
        • Step 5: Learning from Conflict
      • 4. Formal Algorithm
      • 5. Meta-Law Generation
      • 6. Example Resolution
        • Conflict Example
        • Resolution Process
        • Generated Meta-Law
      • 7. Properties
        • 7.1 Convergence
        • 7.2 No Deletion
        • 7.3 Transparency
      • 8. Implementation Notes
        • Confidence Thresholds
        • Dominance Thresholds
      • 9. Related Documents
    • CLE-Net: Decentralized Cognitive Agent Network
      • A Complete Whitepaper
      • Abstract
      • Table of Contents
      • 1. Introduction
        • 1.1 The Problem with Current AI Systems
        • 1.2 The Opportunity
        • 1.3 Our Contribution
        • 1.4 Paper Structure
      • 2. System Architecture
        • 2.1 High-Level Overview
        • 2.2 Design Principles
        • 2.3 Key Properties
      • 3. Cognitive Logic Extraction
        • 3.1 Overview
        • 3.2 Event Capture
        • 3.3 Semantic Atomization
        • 3.4 Symbol Mapping
        • 3.5 Symbolic Regression
        • 3.6 Rule Representation
      • 4. Proof of Cognition Consensus
        • 4.1 Motivation
        • 4.2 Core Idea
        • 4.3 Formal Definition
        • 4.4 Independence Requirements
        • 4.5 Consensus Algorithm
        • 4.6 Confidence Calculation
        • 4.7 Comparison with Other Consensus
      • 5. Cognitive Contribution Score
        • 5.1 Purpose
        • 5.2 Definition
        • 5.3 Components
        • 5.4 Law Quality Score
        • 5.5 CCS Decay
      • 6. Law Conflict Resolution
        • 6.1 What is a Conflict?
        • 6.2 Law Representation
        • 6.3 Resolution Pipeline
      • 7. P2P Network Layer
        • 7.1 Topology
        • 7.2 Discovery Protocol
        • 7.3 Gossip Protocol
        • 7.4 State Synchronization
      • 8. Threat Model
        • 8.1 Protected Assets
        • 8.2 Threat Analysis
        • 8.3 Limitations
      • 9. Implementation
        • 9.1 Current Status
        • 9.2 Core Modules
        • 9.3 Running the Demo
      • 10. Related Work
        • 10.1 Knowledge Graphs
        • 10.2 Symbolic AI
        • 10.3 Decentralized Systems
      • 11. Limitations and Future Directions
        • 11.1 Current Limitations
        • 11.2 Fundamental Limitations
        • 11.3 Future Work
      • 12. Conclusion
      • References
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