# 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)
```fish
cd /home/kill/LiMp
python coco_integrated_playground.py
```

### Full Demo (All Capabilities)
```fish
python coco_integrated_playground.py --demo
```

### Interactive Mode (Chat with CoCo)
```fish
python coco_integrated_playground.py --interactive
```

---

## 📊 What It Does

### 1. Symbolic Math (AL-ULS)
```python
Query: "SUM(10, 20, 30, 40, 50)"
✅ Symbolic: SUM(...) = 150.00
```

### 2. Multi-Modal Embeddings (Numbskull)
```python
Query: "Emergency: Network failure"
✅ Embeddings: ['semantic', 'mathematical', 'fractal'] (768D)
```

### 3. Cognitive Analysis (CoCo)
```python
Context: {"priority": 10, "channel_snr": 5.0}
✅ Cognitive: complexity=0.35, priority=10
```

### 4. LLM Inference (LFM2 + Qwen)
```python
Query: "Explain quantum computing"
🤖 LLM: Quantum computing uses quantum mechanics...
```

---

## 🎯 Example Use Cases

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

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

### Cognitive Load Analysis
```python
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:
```fish
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`:
```python
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
```python
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
```python
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
```python
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:
```fish
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:
```fish
# 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

```fish
# 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:
```fish
cd /home/kill/LiMp
python coco_integrated_playground.py --interactive
```