cognitive/docs/DOCUMENTATION_ROADMAP.md
Daniel Ari Friedman a61f13a26f Updates
2025-02-07 11:08:25 -08:00

4.8 KiB

title type status created updated tags semantic_relations
Documentation Roadmap roadmap stable 2024-02-07 2024-02-07
roadmap
planning
documentation
maintenance
type links
implements
documentation_standards
type links
relates
knowledge_organization
ai_documentation_style
content_management

Documentation Roadmap

Overview

This roadmap outlines the structure and organization of the documentation system, including knowledge base, implementation guides, and learning resources.

Knowledge Base Structure

Core Domains

  1. Cognitive Domain (knowledge_base/cognitive/)

    • Theoretical foundations
    • Cognitive processes
    • Learning and memory
    • Social cognition
  2. Mathematics Domain (knowledge_base/mathematics/)

    • Probability theory
    • Information theory
    • Free energy principles
    • Optimization methods
  3. Agents Domain (knowledge_base/agents/)

    • Agent architectures
    • Implementation patterns
    • POMDP framework
    • Active inference agents
  4. Systems Domain (knowledge_base/systems/)

    • Systems theory
    • Complexity science
    • Emergence patterns
    • Dynamical systems

Documentation Organization

1. Knowledge Base

  • Domain-specific indices
  • Cross-domain relationships
  • Implementation connections
  • Research directions

2. Implementation Guides

  • Setup guides
  • Best practices
  • Performance optimization
  • Testing and validation

3. Learning Resources

  • Learning paths
  • Tutorials
  • Examples
  • Case studies

4. Research Documentation

  • Research templates
  • Experiment guides
  • Results documentation
  • Analysis methods

Cross-Linking Strategy

1. Theoretical Connections

  • Mathematics ↔ Cognitive concepts
  • Systems ↔ Agent architectures
  • Implementation ↔ Theory
  • Theory ↔ Code examples
  • Concepts ↔ Implementation
  • Tests ↔ Validation

3. Learning Integration

  • Concepts ↔ Learning paths
  • Theory ↔ Tutorials
  • Implementation ↔ Examples

Documentation Standards

1. File Organization

  • Clear directory structure
  • Consistent naming
  • Logical grouping
  • Version control

2. Content Structure

  • Frontmatter metadata
  • Semantic relationships
  • Clear sections
  • Code examples

3. Quality Standards

  • Technical accuracy
  • Code quality
  • Documentation clarity
  • Regular updates

Implementation Examples

1. Basic Examples

  • POMDP implementation
  • Active inference agent
  • Belief updating
  • Policy selection

2. Advanced Examples

  • Hierarchical agents
  • Multi-agent systems
  • Swarm intelligence
  • Neural networks

3. Case Studies

  • Ant colony simulation
  • Robotic control
  • Social learning
  • Emergent behavior

Learning Paths

1. Core Paths

  • Active inference
  • POMDP framework
  • Systems theory
  • Swarm intelligence

2. Advanced Paths

  • Hierarchical processing
  • Multi-agent systems
  • Complex systems
  • Neural computation

3. Specializations

  • Robotics
  • Cognitive systems
  • Social systems
  • Biological systems

Research Documentation

1. Templates

  • Research documents
  • Implementation examples
  • Experiment setup
  • Results analysis

2. Guidelines

  • Research methodology
  • Documentation standards
  • Code organization
  • Data management

3. Tools

  • Analysis scripts
  • Visualization tools
  • Testing frameworks
  • Documentation generators

Maintenance

1. Regular Updates

  • Content review
  • Link validation
  • Code testing
  • Documentation refresh

2. Quality Control

  • Technical review
  • Code quality
  • Documentation clarity
  • Cross-reference checks

3. Version Control

  • Content versioning
  • Code versioning
  • Release management
  • Change tracking

Future Directions

1. Content Expansion

  • New domains
  • Advanced topics
  • Case studies
  • Research papers

2. Tool Development

  • Documentation tools
  • Analysis tools
  • Testing tools
  • Visualization tools

3. Integration

  • External resources
  • Code repositories
  • Research papers
  • Community contributions

Contributing

1. Guidelines

  • Content standards
  • Code standards
  • Documentation format
  • Review process

2. Workflow

  • Issue tracking
  • Pull requests
  • Review process
  • Merge criteria

3. Community

  • Discussion forums
  • Code reviews
  • Documentation reviews
  • Research collaboration

External References

  1. Documentation Best Practices
  2. Knowledge Management Systems
  3. Technical Writing Guidelines
  4. API Documentation Standards

Next Steps

  1. Implement new directory structure
  2. Create documentation templates
  3. Establish validation framework
  4. Begin content migration
  5. Set up automated tools
  6. Train contributors