AIResAgTeam/Quantum-LIMIT-Graph-v2.4.0-NSN-level-4-maturity-rust

🔮 Quantum LIMIT Graph v2.4.0 - Level 4 Maturity

Self-Reflective, Collaborative, and Ethically-Aware Quantum Agents

🎯 Overview

Quantum LIMIT Graph v2.4.0 Level 4 represents the pinnacle of autonomous AI agent capabilities, featuring:

• 🧠 Self-Reflective Agents - Audit their own reasoning, entropy, and coherence
• 🤝 Cross-Agent Collaboration - Dynamic coalitions with quantum teleportation
• 🔐 Cryptographic Provenance - Full edit lineage with Merkle tree integrity
• 🎯 Autonomous Benchmarking - Self-generating tests from failure patterns
• 🔍 Quantum Retrieval - Multi-head attention over contributors and backends
• ⚖️ Ethical Governance - Cultural norm awareness with policy adaptation

🚀 Quick Start

Installation

# Clone the repository
git clone https://huggingface.co/spaces/YOUR_USERNAME/quantum-limit-graph-v2.4.0
cd quantum-limit-graph-v2.4.0/rust

# Build
cargo build --release

# Run tests
cargo test --test test_level4

# Run demo
cargo run --example level4_demo

Basic Usage

use quantum_limit_graph::level4::*;

#[tokio::main]
async fn main() -> Result<()> {
    // Initialize Level 4 Agent
    let agent = Level4Agent::new();
    
    // Process edit with full pipeline
    let edit = EditOperation {
        edit_id: "edit_001".to_string(),
        content: "Multilingual content".to_string(),
        language: "en".to_string(),
    };
    
    let result = agent.process_edit(
        edit,
        "contributor_id",
        "legal",
        "EU"
    ).await?;
    
    if result.success {
        println!("✅ Edit processed successfully");
        println!("Coherence: {:.3}", 
            result.audit_report.unwrap().entropy_metrics.coherence_score);
    }
    
    Ok(())
}

📚 Key Features

1. Self-Audit Module

Tracks quantum entropy shifts and semantic drift:

• Von Neumann entropy calculation
• Coherence scoring via quantum fidelity
• Cross-lingual semantic drift detection
• Automatic feedback generation

2. Agent Mesh Protocol

Dynamic agent collaboration:

• Quantum teleportation for shard exchange
• Bell state entanglement
• Shared policy negotiation via RLHF
• Async Tokio messaging

3. Provenance Ledger

Cryptographic edit tracking:

• SHA-256 semantic fingerprinting
• Merkle tree integrity verification
• Parent-child edit relationships
• Visual lineage generation

4. Benchmark Synthesizer

Autonomous test generation:

• Failure pattern analysis
• Entropy spike detection
• Domain-specific validation
• Difficulty scoring

5. Quantum Retrieval Planner

Intelligent retrieval optimization:

• 8-head quantum attention
• Contributor embedding integration
• Backend performance analysis
• Real-time adaptation

6. Ethical Reasoning

Cultural and policy awareness:

• Normative logic enforcement
• Contributor value alignment
• Region/domain-specific policies
• Dynamic constraint updates

🏗️ Architecture

Level4Agent
├── SelfAuditModule → Entropy tracking, coherence scoring
├── AgentMeshProtocol → Quantum collaboration
├── EditProvenanceLedger → Cryptographic lineage
├── BenchmarkSynthesizer → Autonomous testing
├── QuantumRetrievalPlanner → Intelligent retrieval
└── EthicalReasoningModule → Governance

📊 Performance

Operation	Complexity	Notes
Entropy Tracking	O(n log n)	Von Neumann entropy
Agent Teleportation	O(1)	Quantum handshake
Provenance Verification	O(log n)	Merkle tree
Retrieval Planning	O(k·h)	Multi-head attention
Ethical Evaluation	O(c)	Constraint checking

🧪 Examples

Form Agent Coalition

let coalition = agent.form_coalition(
    "Translate legal document across 5 languages".to_string(),
    vec![
        AgentSpecialization::Translation,
        AgentSpecialization::FactChecking,
    ],
).await?;

println!("Coalition formed with {} agents", coalition.members.len());

Plan Quantum Retrieval

let plan = agent.plan_retrieval(
    "Find legal precedents on data privacy",
    "legal",
    &["shard_en", "shard_es", "shard_fr"],
).await?;

println!("Estimated latency: {}ms", plan.estimated_latency_ms);
println!("Coherence: {:.3}", plan.coherence_score);

Visualize Edit Lineage

let lineage_viz = agent.visualize_lineage("edit_001").await?;
println!("{}", lineage_viz);

📖 Documentation

• Complete Documentation
• Quick Start Guide
• Architecture Diagrams
• Delivery Summary
• Rust README

🔬 Research Applications

Level 4 is ideal for:

• Multi-agent research collaboration systems
• Ethically-aware content moderation
• Provenance-tracked knowledge graphs
• Autonomous quality assurance
• Cross-lingual semantic coherence
• Quantum-enhanced information retrieval

🤝 Contributing

We welcome contributions! Areas of interest:

• Hardware quantum backend integration
• Advanced visualization tools
• Domain-specific benchmark libraries
• Ethical policy templates
• Performance optimizations

📄 License

CC BY-NC-SA 4.0 - See LICENSE for details

🙏 Acknowledgments

Built with:

• Rust for high-performance implementation
• Tokio for async runtime
• Quantum algorithms (Bell states, teleportation)
• Cryptographic primitives (SHA-256, Merkle trees)

📞 Contact

• Issues: GitHub Issues
• Discussions: GitHub Discussions

🌟 Citation

If you use Quantum LIMIT Graph v2.4.0 in your research, please cite:

@software{quantum_limit_graph_2024,
  title = {Quantum LIMIT Graph v2.4.0: Self-Reflective Quantum Agents},
  author = {AI Research Agent Team},
  year = {2025},
  version = {2.4.0},
  url = {https://huggingface.co/spaces/YOUR_USERNAME/quantum-limit-graph-v2.4.0}
}

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Level 4 Maturity: COMPLETE ✅

Pushing the boundaries of quantum-enhanced AI