Initiate deep research into merging fuzzy/paraconsistent Formal Concept Analysis (FCA) with concept blending models in MeTTa. Analyze strengths limitations & compatibility with Hyperon's symbolic architecture. Design a modular framework that supports both structured and probabilistic reasoning. Consultation with TRIZ/physics expert Mark Fox will guide logic system modeling and systemic integration. Agile 4-week sprints will be planned for subsequent milestones.

- Comparative analysis of FCA vs. concept blending in MeTTa - Modular system design diagram for Hyperon integration - TRIZ-informed logic flow documentation - Sprint plan and milestone roadmap - Versioned documentation repository (GitHub Notion etc.)

$10,000 USD

- Completion of FCA vs. blending analysis with clear pros/cons - Modular design validated by expert review (TRIZ/Mark Fox) - Draft architecture aligns with Hyperon integration goals - Agile sprint breakdown delivered for next phases - All research artifacts stored in a version-controlled repo and team-shared

Implement fuzzy/paraconsistent FCA & information-theoretic concept blending modules in MeTTa. Develop code to integrate these systems into Hyperon-compatible structures via DAS. Evaluate outputs using Claude 4.0 ASI & LLaMA3 for novelty coherence & memory retention. Begin testing audio-mapped representations of abstract traits. Utilize local LLM agents to enhance reasoning persistence & mitigate external API limitations.

- Functional MeTTa modules for fuzzy FCA and concept blending - DAS integration code & logic mapping - Logs and evaluation reports from LLMs (Claude ASI LLaMA3) - Jupyter or CLI-based prototype demonstrating core functionality - Initial concept-to-audio modeling samples (where applicable)

$20,000 USD

- Stable execution of both FCA & blending modules within MeTTa - Working DAS pipeline that integrates synthesized concepts into Hyperon - Concepts meet thresholds: novelty >8/10, coherence >70% - Evaluation results confirmed across multiple LLMs - Prototype successfully demonstrates symbolic + blended logic interplay - Audio model demonstrates perceivable correlation with cognitive metrics

Finalize all systems benchmark performance & document the entire architecture. If MeTTa's limitations block paraconsistent or fuzzy logic pivot to embedding logic in LISP or Prolog with wrappers for Hyperon compatibility. Validate all outputs using LLMs & ensure long-term memory retention in Hyperon. Create a full demo showcasing concept synthesis blending & symbolic persistence through Hyperon’s memory pipeline.

- Complete documentation (APIs logic modules fallback engines) - Benchmark report showing novelty >8/10 coherence >70% & 24+ hr memory retention - Recorded demo of concepts entering & persisting in Hyperon - Reusable codebase with clean modular structure - Optional LISP/Prolog logic layer with symbolic compatibility

$20,000 USD

- Concepts persist in Hyperon memory >24 hours with no degradation - All benchmarks hit or exceeded (novelty, coherence, retention) - Final codebase is reusable, well-documented, & compatible with Hyperon - Demo illustrates full pipeline: input → synthesis → retention - Fallback logic system tested if MeTTa tools fall short - All deliverables are published in versioned repo & ready for team or community reuse