hmnshudhmn24/cognitron-sigma

Cognitron-Σ

Cognitron-Σ is a Level-5 hybrid neuro-symbolic reasoning engine designed to solve complex logical and conceptual queries through multi-stage reasoning, graph intelligence, and self-verification loops.

Unlike standard LLM pipelines, Cognitron-Σ explicitly separates symbolic inference, neural chain-of-thought reasoning, and error correction, producing explainable and verifiable outputs.

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🚀 Key Capabilities

• 🧠 Multi-Stage Reasoning Pipeline
• 🔗 Symbolic + Neural Hybrid Intelligence
• 🕸️ Graph-Based Reasoning Traces
• 🔁 Self-Verification & Error Correction
• 📊 Confidence-Aware Output Scoring
• 🤗 Hugging Face–ready Inference API

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🧠 Architecture Overview

Input Query
   ↓
Query Parser
   ↓
Symbolic Reasoning Engine
   ↓
Neural Chain-of-Thought Reasoner
   ↓
Dynamic Reasoning Graph Builder
   ↓
Self-Verification Module
   ↓
Error Correction Loop
   ↓
Final Answer + Confidence + Reasoning Graph

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📥 Input Format

{
  "query": "If all mammals are warm-blooded and whales are mammals, are whales warm-blooded?"
}

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📤 Output Format

{
  "answer": "Yes",
  "confidence": 0.91,
  "explanation": "Answer verified with confidence 0.91",
  "graph": {
    "nodes": {
      "mammals": "concept",
      "warm-blooded": "inferred"
    },
    "edges": [
      ["mammals", "warm-blooded", "implies"]
    ]
  }
}

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🛠️ Installation & Usage

Clone the Repository

git clone https://huggingface.co/<your-username>/cognitron-sigma
cd cognitron-sigma

Run Inference

python inference.py

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📁 Project Structure

cognitron-sigma/
├── configs/
├── data/
├── src/
├── inference.py
├── evaluation.py
├── README.md
├── model_card.md
├── LICENSE
└── requirements.txt

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🎯 Use Cases

• Advanced logical reasoning systems
• Explainable AI research
• Neuro-symbolic AI experiments
• LLM orchestration & verification
• Academic demos & prototypes

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🔮 Future Work

• Integration with real LLM backends
• Probabilistic symbolic inference
• Reasoning graph visualization
• Multi-query reasoning memory
• Formal logic solver integration

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⚠️ Limitations

• Research-grade prototype
• Not optimized for low-latency production
• Symbolic rules are generic

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📜 License

Apache License 2.0