- Submit a comprehensive research plan and a high-level framework design that together set the foundation for the entire project. The research plan details objectives, scope boundaries, ethics pathway, risk register and agile task breakdown. - The design specifies how wisdom-tradition concepts will be mapped into formal contexts, how uncertain FCA and information-theoretic measures (proposed candidates: ΦID, mutual information, entropy-surprise) hypothetically interrelate, and how evaluation loops will combine PLN, LLM critique and subject-matter expertise. - Optional: A system-level architecture diagram shows data flow from raw text to blended concepts within Hyperon’s Distributed Atomspace. No coding, data harvesting or lattice generation occurs in this milestone; the output is entirely strategic and design-oriented.

- Research-plan text document - Conceptual-framework document (definitions, diagrams, metric-selection rationale) - Timeline/Gantt overview (PNG/SVG) - Optional: High-level framework design diagram

$12,500 USD

MeTTa developer approves the framework/architecture; project plan is in place; high-level framework design reflects the overall A-to-B of the project.

Assemble a significant proportion of the corpora for the selected sources/ wisdom traditions. Extract the initial set of concept-attribute relations and load them into prototype MeTTa context files, creating ontology skeletons for each tradition. Develop and unit-test the uncertain-FCA library; generate first-pass lattices and visualisations capturing core conceptual clusters.

- Curated corpora of wisdom tradition sources - Draft MeTTa context files per tradition - Uncertain-FCA MeTTa library + unit tests - Initial lattice graphs (DOT/PNG)

$12,500 USD

Corpora and context files compiled; lattices compile effectively; the initial lattices reflect the major conceptual clusters of each tradition.

Substantial progress building the blend engine. Run an initial batch of concept blends to validate the end-to-end flow and collect preliminary performance and quality metrics. Refine with feedback from LLM’s.

- MeTTa blend rules + (optional) Python FFI helpers - Sample LLM-ranked blends list with raw scores - Benchmark summary report (proposed/suggested: run-time, memory, novelty indicators)

$12,500 USD

Preliminary pipeline/components run well within reasonable computing limits (desktop/VM, ideally); generates a set of promising blended concepts judged meaningful by subject-matter expertise and LLM’s; preliminary benchmark results report shows promise for establishes a performance envelope for final scaling.

Iterate blend thresholds (optimally using PLN logic), LLM (optimally including mult-agent) critique and subject-matter expert review. Compare information-theoretic–guided vs. uncertain FCA-only pipelines with final benchmarks. Package all code, data and docs; build Docker image; record screencast demo; draft white-paper and final slide deck; push to public GitHub and submit completion report. Specifics are open to suggestions from the Hyperon/MeTTa teams.

- Evaluation dataset with expert labels & LLM - Optional: Information-theoretic refinement module -Comparative dashboard notebook - Git repo (MIT with commons clause) + Docker image + docs -Video demo & white-paper

$12,500 USD

Measurements between Information-theoretic (proposed candidate: ΦID and/or MI) pipeline(s) vs. uncertain FCA “novel + coherent” concepts; Hyperon core team merges pull request without major rework; public demo released under open licence.