Research Papers
Academic papers, research proposals, and technical documentation
Geometric Semantic Communication Research
Research Agenda
Geometric Semantic Communication for Emergent Multi-Agent Intelligence A research program toward communication infrastructure for emergent artificial general intelligence, grounded in tensor logic and topological structures for truth, perspective, and narrative. Defines a five-layer protocol stack from implementable GPS through morphogenetic dynamics to manifold semantics.
- Format: Web (Markdown)
- Date: December 20, 2025
- Topics: Emergent intelligence, tensor logic, morphogenetic dynamics, manifold semantics, chiral narrative synthesis
Protocol Specification
Geometric Publish-Subscribe: Content-Based Routing in Embedding Space for Multi-Agent Systems A communication protocol for multi-agent systems where messages route by semantic similarity rather than topic strings. Specifies a 64-byte wire format, subscription semantics based on embedding regions, and routing algorithms based on similarity thresholds.
- Format: Web (Markdown)
- Date: December 20, 2025
- Topics: Multi-agent systems, semantic routing, vector quantization, publish-subscribe
Chiral Narrative Synthesis (CNS) Research
Research Proposal
Chiral Narrative Synthesis Research Proposal (PDF) Comprehensive research proposal for the Chiral Narrative Synthesis framework, exploring AI-powered narrative generation with dialectical reasoning.
- Format: PDF (224 KB)
- Date: June 17, 2025
- LaTeX Source: ResearchProposal-ChiralNarrativeSynthesis_3.tex
Research Roadmap & Documentation
CNS 2.0 Research Roadmap Comprehensive guide covering the vision, experimental design, foundational work, and research directions for Chiral Narrative Synthesis 2.0.
Key Sections:
- Vision vs. Experiment
- Minimum Viable Experiment
- Anatomy of a Paper
- Foundational Work
- Future Research Directions
In-Depth Analysis
CNS Ideas Paper Detailed exploration of the theoretical foundations, technical implementation, and research methodology behind Chiral Narrative Synthesis.
Dialectical Reasoning Templates Templates and frameworks for implementing dialectical reasoning in narrative generation systems.
Additional Resources
Related Guides
Evaluation & Validation
Ethical Considerations
About This Research
The Chiral Narrative Synthesis (CNS) project explores novel approaches to AI-powered narrative generation through dialectical reasoning frameworks. The research combines theoretical foundations from philosophy, linguistics, and cognitive science with practical implementations using large language models.
For technical implementation details, see the CNS repositories including dspex, pipeline_ex, and related Elixir/BEAM packages.