Agents as Proxies for Neurosymbolic Research (APNR)

Project Overview

This research project explores using AI agents as proxies for understanding neurosymbolic architectures. The core idea is to leverage agent behaviors and Chain of Thought (CoT) reasoning to bridge the gap between neural and symbolic approaches to artificial intelligence.

Research Goals

• Use agent behaviors to understand emergent neural-symbolic interactions
• Extract explicit symbolic rules from CoT reasoning while maintaining neural pattern connections
• Develop a framework for studying neurosymbolic architectures through agent behavior
• Build tools for analyzing the relationship between action patterns and reasoning chains

Project Structure

Week 1: Agent Framework & Behavior Analysis

Days 1-2: Research Environment Setup

• Agent environment implementation
  • Decision point tracking
  • Action selection monitoring
  • Reasoning trace capture
• Instrumentation for comprehensive analysis

Days 3-4: CoT Integration Layer

• Chain of Thought reasoning capture system
• Reasoning step parsing and categorization
• Pattern visualization tooling

Days 5-7: Pattern Analysis Framework

• Analysis tools for:
  • Action sequence patterns
  • Reasoning patterns
  • Success/failure correlations
• Action-reasoning mapping system

Week 2: Synthesis & Knowledge Extraction

Days 8-9: Knowledge Graph Construction

• Dynamic knowledge graph implementation
  • Action pattern capture
  • Reasoning chain integration
  • Rule emergence tracking
• Component relationship detection

Days 10-11: Pattern to Rule Translation

• Symbolic rule extraction system
• Rule verification framework
• Rule refinement feedback loop

Days 12-14: Analysis & Documentation

• Multi-scenario experimentation
• Pattern and relationship documentation
• Research findings compilation

Repository Structure

/
├── docs/                  # Documentation files
├── src/                   # Source code
│   ├── agents/           # Agent implementations
│   ├── environment/      # Research environment
│   ├── analysis/         # Analysis tools
│   └── visualization/    # Visualization tools
├── experiments/          # Experiment configs and results
├── notebooks/           # Research notebooks
└── assets/              # Additional resources

Getting Started

Prerequisites

[To be added based on implementation decisions]

Installation

[To be added based on implementation decisions]

Research Notes

This section will be updated throughout the project with key findings, observations, and insights about the relationship between agent behaviors and neurosymbolic processes.

Contributing

This is a research project focused on understanding the emergence of neurosymbolic patterns through agent behavior. Contributions that align with this goal are welcome.

License

[To be determined]

Project Status

Active development - Initial research phase

Contact

[To be added]