COCO_INTEGRATION.md

CoCo (Cognitive Communication Organism) Integration

✅ What's Integrated

CoCo_0rg.py is now fully integrated with your unified system!

What is CoCo?

Cognitive Communication Organism - A revolutionary 3-level architecture:

Level 1: Neural Cognition
  └─ TA-ULS + Neuro-Symbolic processing
  └─ Cognitive state tracking & analysis

Level 2: Orchestration Intelligence  
  └─ Dual LLM coordination
  └─ Context-aware decision making

Level 3: Physical Manifestation
  └─ Signal processing & adaptive modulation
  └─ Real-time communication optimization

Key Components Integrated

1. Cognitive Modulation Selector - Intelligently selects modulation schemes
2. Fractal Temporal Intelligence - Analyzes patterns across time
3. Autonomous Research Assistant - AI-powered research capabilities
4. Emergency Cognitive Network - High-priority emergency handling
5. Emergent Technology Orchestrator - Advanced cognitive processing

---

🎮 How to Use

Quick Demo (Default)

cd /home/kill/LiMp
python coco_integrated_playground.py

Full Demo (All Capabilities)

python coco_integrated_playground.py --demo

Interactive Mode (Chat with CoCo)

python coco_integrated_playground.py --interactive

---

📊 What It Does

1. Symbolic Math (AL-ULS)

Query: "SUM(10, 20, 30, 40, 50)"
✅ Symbolic: SUM(...) = 150.00

2. Multi-Modal Embeddings (Numbskull)

Query: "Emergency: Network failure"
✅ Embeddings: ['semantic', 'mathematical', 'fractal'] (768D)

3. Cognitive Analysis (CoCo)

Context: {"priority": 10, "channel_snr": 5.0}
✅ Cognitive: complexity=0.35, priority=10

4. LLM Inference (LFM2 + Qwen)

Query: "Explain quantum computing"
🤖 LLM: Quantum computing uses quantum mechanics...

---

🎯 Example Use Cases

Emergency Communication

await system.process_unified(
    "Emergency: Network failure in sector 7",
    context={
        "priority": 10,
        "channel_snr": 5.0,
        "reliability_required": 0.99
    }
)

Statistical Analysis

await system.process_unified(
    "MEAN(100, 200, 300, 400, 500)",
    context={"use_case": "statistical_analysis"}
)

Cognitive Load Analysis

await system.process_unified(
    "Analyze cognitive load of multi-modal fusion",
    context={
        "priority": 7,
        "llm_context": "Focus on computational efficiency"
    }
)

---

📝 Interactive Mode Commands

Start interactive mode:

python coco_integrated_playground.py --interactive

Then try these commands:

Query: SUM(1,2,3,4,5)
Query: MEAN(10,20,30)
Query: What is quantum computing?
Query: Emergency: System failure
Query: demo              # Run full demo
Query: exit              # Exit

---

🔧 Configuration

Add Custom Context

Edit coco_integrated_playground.py:

context = {
    "priority": 8,                  # 1-10 scale
    "channel_snr": 15.0,           # Signal-to-noise ratio
    "reliability_required": 0.95,   # 0-1 scale
    "use_case": "your_use_case",
    "llm_context": "Additional context for LLM"
}

result = await system.process_unified(query, context)

Enable/Disable Components

system = UnifiedCognitiveSystem(
    enable_coco=True,      # Cognitive organism
    enable_aluls=True,     # Symbolic evaluation
    llm_configs=[...]      # LLM backends
)

---

🚀 Full System Architecture

User Query
    ↓
┌───────────────────────────────────────┐
│  Unified Cognitive System             │
├───────────────────────────────────────┤
│                                       │
│  1. AL-ULS (Symbolic)                │
│     └─ SUM, MEAN, VAR, STD, etc.     │
│                                       │
│  2. Numbskull (Embeddings)           │
│     └─ Fractal + Semantic + Math     │
│                                       │
│  3. CoCo (Cognitive Analysis)        │
│     └─ 3-Level Architecture          │
│        • Neural Cognition            │
│        • Orchestration               │
│        • Physical Manifestation      │
│                                       │
│  4. Multi-LLM (Inference)            │
│     └─ LFM2 + Qwen + Custom          │
│                                       │
└───────────────────────────────────────┘
    ↓
Unified Results

---

💡 Advanced Usage

Custom Cognitive Processing

from coco_integrated_playground import UnifiedCognitiveSystem

async def custom_processing():
    system = UnifiedCognitiveSystem()
    
    # Process with full context
    result = await system.process_unified(
        query="Your complex query here",
        context={
            "priority": 9,
            "channel_snr": 12.5,
            "reliability_required": 0.98,
            "llm_context": "Detailed context"
        }
    )
    
    # Access results
    if result["symbolic"]:
        print(f"Symbolic: {result['symbolic']['result']}")
    
    if result["embeddings"]:
        print(f"Embeddings: {result['embeddings']['dimension']}D")
    
    if result["cognitive_analysis"]:
        print(f"Cognitive: {result['cognitive_analysis']}")
    
    if result["llm_response"]:
        print(f"LLM: {result['llm_response']}")
    
    await system.close()

asyncio.run(custom_processing())

Batch Processing

async def batch_processing():
    system = UnifiedCognitiveSystem()
    
    queries = [
        ("SUM(1,2,3)", {}),
        ("Emergency alert", {"priority": 10}),
        ("What is AI?", {"llm_context": "Keep it simple"}),
    ]
    
    for query, context in queries:
        result = await system.process_unified(query, context)
        print(f"{query}: {result}")
    
    await system.close()

---

📊 Components Status

Component	Status	Description
AL-ULS	✅ Working	Symbolic math evaluation
Numbskull	✅ Working	Multi-modal embeddings
CoCo	✅ Working	3-level cognitive architecture
Multi-LLM	✅ Working	LFM2 + Qwen orchestration
Neuro-Symbolic	✅ Working	9 analytical modules
Signal Processing	✅ Working	7 modulation schemes

---

🐛 Troubleshooting

CoCo Components Not Available

Solution: Some CoCo components depend on PyTorch:

pip install torch

"Connection refused" for LLMs

This is normal! LLM servers are optional. The system works without them:

• Symbolic math still works
• Embeddings still work
• Cognitive analysis still works
• Only LLM inference requires servers

Want Full CoCo Features?

Start LLM servers:

# Terminal 1
bash start_lfm2.sh

# Terminal 2
bash start_qwen.sh

---

🎉 Summary

You now have the COMPLETE UNIFIED SYSTEM:

✅ CoCo_0rg - Cognitive Communication Organism (3-level architecture) ✅ AL-ULS - Symbolic evaluation (local, instant) ✅ Numbskull - Multi-modal embeddings (fractal + semantic + math) ✅ Multi-LLM - LFM2 + Qwen + custom backends ✅ All LiMp modules - Neuro-symbolic, signal processing, etc.

Quick Start Commands

# Quick demo
python coco_integrated_playground.py

# Full demo
python coco_integrated_playground.py --demo

# Interactive (MOST FUN!)
python coco_integrated_playground.py --interactive

# Other playgrounds
python play.py                   # Simple playground
python play_aluls_qwen.py       # AL-ULS + Qwen focus

---

📚 Documentation Files

• COCO_INTEGRATION.md (this file) - CoCo integration guide
• ALULS_QWEN_INTEGRATION.md - AL-ULS + Qwen guide
• README_COMPLETE_INTEGRATION.md - Full system overview
• RUN_COMPLETE_SYSTEM.md - Service startup guide

---

Everything is integrated and ready to use! 🎮

Start playing:

cd /home/kill/LiMp
python coco_integrated_playground.py --interactive