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.

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.


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.

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:

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

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.