cognitive/docs/concepts/key_concepts.md

Key Concepts

Overview

This guide explains the core concepts of our cognitive modeling framework, integrating Active Inference with knowledge management.

Knowledge Structure

Nodes

Fundamental units of knowledge representation:

Agent Nodes

• agent_template
• Represent cognitive agents
• Contain beliefs, goals, and actions
• See agent_concepts

Belief Nodes

• belief_template
• Represent probabilistic beliefs
• Update through observations
• See belief_concepts

Goal Nodes

• goal_template
• Define agent objectives
• Guide policy selection
• See goal_concepts

Relationships

• Bidirectional links between nodes
• Represent dependencies and influences
• Follow linking_patterns

Active Inference Framework

Core Principles

1. Free Energy Minimization

   • Drives agent behavior
   • Balances exploration/exploitation
   • See free_energy_principle

2. Belief Updating

   • Bayesian inference
   • Precision-weighted updates
   • See belief_updating

3. Policy Selection

   • Expected free energy
   • Action-perception cycles
   • See policy_selection

Implementation

• active_inference_intro
• model_architecture
• implementation_guide

Tool Integration

Development Environment

• cursor_integration
  • AI-augmented development
  • Code generation
  • Documentation assistance

Knowledge Management

• obsidian_usage
  • Network visualization
  • Bidirectional linking
  • Template system

Version Control

• git_workflow
  • Code management
  • Knowledge base versioning
  • Collaboration

Modeling Paradigms

Knowledge Representation

1. Template-Based

   • Structured templates
   • Consistent metadata
   • See template_guide

2. Network-Centric

   • Graph structure
   • Relationship mapping
   • See network_analysis

3. Version-Controlled

   • Change tracking
   • Collaboration
   • See version_control

Cognitive Architecture

Belief Systems

• Probabilistic representations
• Prior knowledge
• Learning mechanisms
• See belief_systems

Goal Hierarchies

• Objective structures
• Priority management
• Temporal horizons
• See goal_hierarchies

Action Selection

• Policy inference
• Expected free energy
• Decision making
• See action_selection

Development Workflow

Code Development

1. Use cursor_integration
2. Follow code_style
3. Update documentation_guide

Knowledge Management

1. Use obsidian_usage
2. Maintain linking_patterns
3. Follow maintenance_guide

Version Control

1. Follow git_workflow
2. Use branching_strategy
3. Review deployment_guide

Best Practices

Code Organization

• Modular structure
• Clear dependencies
• See code_organization

Documentation

• Comprehensive guides
• Clear examples
• See documentation_guide

Testing

• Unit tests
• Integration tests
• See testing_guide

Advanced Topics

Network Analysis

• Graph metrics
• Relationship patterns
• See network_analysis

Model Optimization

• Parameter tuning
• Performance analysis
• See optimization_guide

Scaling

• Distributed systems
• Performance optimization
• See scaling_guide

Related Concepts

• active_inference_theory
• cognitive_architectures
• knowledge_graphs
• probabilistic_modeling

References

• research_papers
• implementation_examples
• further_reading