SPaDE

SPaDE Project Issues and Gaps

This document tracks issues that need to be addressed in the system description, organized by structural questions and gaps at different levels of detail.

Structural Organization Issues

1. Documentation Structure

• Missing README files: kr/README.md and dk/README.md are referenced but don’t exist
• Inconsistent documentation format: Mix of .md and .tex files needs standardization
• Missing navigation: No clear index or table of contents for the documentation
• Version control: No clear indication of which documents are current vs. historical

2. Project Organization

• Missing implementation directories: No clear place for actual code/implementations
• Specification location: Where should formal specifications go vs. informal descriptions?
• API documentation: No clear location for API specifications and protocols
• Examples directory: No place for concrete examples and use cases

3. Repository Structure

• Build system: No Makefile or build configuration at project root
• Dependencies: No clear dependency management or requirements files
• Testing structure: No test directory or testing framework
• CI/CD: No continuous integration setup

High-Level Conceptual Gaps

4. Philosophical Foundation

• Incomplete philosophical preliminaries: PhilosophicalPreliminaries.md is only 11 lines
• Missing definition of “declarative knowledge”: Referenced but not defined
• Unclear relationship to Carnap: How exactly does this differ from Logical Positivism?
• Missing justification for engineering focus: Why engineering over science?

5. Core Claims and Arguments

• Incomplete universality argument: KRUniversality.md is incomplete and has typos
• Missing formal definition of “Cambridge HOL”: What exactly is this variant?
• Unclear relationship to existing HOL systems: How does this differ from Isabelle, Coq, etc.?
• Missing concrete examples: No examples of knowledge representation

6. Paradigm Shift Description

• Incomplete deductive paradigm description: DeductiveParadigm.md is only 4 lines
• Missing transition strategy: How do we get from current state to new paradigm?
• Unclear benefits: What specific advantages does this approach provide?
• Missing risk assessment: What are the potential downsides or challenges?

Architectural Gaps

7. Knowledge Repository Architecture

• Missing distributed architecture specification: How exactly does distribution work?
• No protocol specifications: How do different systems communicate?
• Missing versioning strategy: How are knowledge updates handled?
• No consistency model: How is logical consistency maintained across distributed repos?

8. Deductive Kernel Design

• Incomplete kernel specification: kernel.md is informal and incomplete
• Missing LCF comparison: How exactly does this differ from LCF paradigm?
• No performance considerations: How will this scale to large knowledge bases?
• Missing metatheory specification: How exactly does reflexive reasoning work?

9. API and Protocol Design

• No API specifications: What are the actual interfaces?
• Missing protocol definitions: How do front-ends and back-ends communicate?
• No concrete syntax specifications: What are the actual language formats?
• Missing security considerations: How is access control handled?

Technical Implementation Gaps

10. Formal Specifications

• No formal syntax definitions: What is the exact HOL variant being used?
• Missing type system specification: How are types handled?
• No proof system specification: What are the inference rules?
• Missing metatheory formalization: How is the system’s own theory formalized?

11. Implementation Strategy

• No implementation language choice: What language should be used?
• Missing bootstrapping strategy: How do we implement the system in itself?
• No development roadmap: What are the implementation phases?
• Missing tooling requirements: What development tools are needed?

12. Integration and Interoperability

• No migration strategy: How do we transition from existing systems?
• Missing compatibility specifications: How does this work with existing HOL systems?
• No import/export protocols: How do we handle existing knowledge bases?
• Missing tool integration: How do existing tools integrate?

AI Integration Gaps

13. AI Capabilities Integration

• Unclear AI role: How exactly does AI fit into the architecture?
• Missing AI-assisted proof generation: How does AI help with proofs?
• No AI training strategy: How do we train AI on the system?
• Missing human-AI collaboration model: How do humans and AI work together?

14. Verification and Trust

• No verification strategy: How do we verify AI-generated proofs?
• Missing trust model: How do we establish trust in the system?
• No audit trail: How do we track changes and decisions?
• Missing quality assurance: How do we ensure correctness?

Practical Deployment Gaps

15. Use Cases and Applications

• No concrete use cases: What are the first applications?
• Missing domain-specific examples: How does this apply to specific fields?
• No performance benchmarks: What are the expected performance characteristics?
• Missing scalability analysis: How does this scale to large problems?

16. Community and Ecosystem

• No community building strategy: How do we build a user community?
• Missing documentation standards: What are the documentation requirements?
• No contribution guidelines: How do others contribute to the project?
• Missing licensing strategy: What are the licensing terms?

Research and Development Gaps

17. Research Questions

• Unanswered theoretical questions: What are the open research problems?
• Missing experimental validation: How do we validate the approach?
• No comparison with alternatives: How does this compare to other approaches?
• Missing limitations discussion: What are the known limitations?

18. Development Priorities

• No clear development priorities: What should be implemented first?
• Missing milestone definitions: What are the key milestones?
• No resource requirements: What resources are needed?
• Missing timeline: What is the expected development timeline?

Documentation and Communication Gaps

19. Documentation Completeness

• Incomplete technical paper: chdkrpaper.tex has many incomplete sections
• Missing glossary: No definitions of key terms
• No FAQ: Common questions not addressed
• Missing tutorials: No getting started guides

20. Communication Strategy

• No clear messaging: What is the elevator pitch?
• Missing target audience definition: Who is this for?
• No value proposition: What problem does this solve?
• Missing differentiation: How is this different from existing solutions?

Next Steps

Immediate Priorities (Phase 1)

1. Complete the missing README files
2. Define the core terminology and concepts
3. Create a proper project structure with implementation directories
4. Complete the philosophical foundation

Medium-term Priorities (Phase 2)

1. Develop formal specifications
2. Create concrete examples and use cases
3. Design the API and protocol specifications
4. Establish development priorities and roadmap

Long-term Priorities (Phase 3)

1. Implement core components
2. Build community and ecosystem
3. Validate approach through applications
4. Scale to production use

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This document should be updated as issues are addressed and new issues are identified.

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