Conduct foundational research on concept blending and advanced Formal Concept Analysis (FCA) including fuzzy and paraconsistent variations. This involves reviewing relevant literature analyzing existing implementations in OpenCog Classic and defining the scope and requirements for integrating these techniques into Hyperon. Design a modular framework for implementation in MeTTa ensuring compatibility with Hyperon’s Atomspace and cognitive architecture.

1. A detailed technical report outlining the research findings and proposed algorithms for concept blending and FCA. 2. A modular framework design document specifying the architecture integration points and planned implementation phases. 3. A comprehensive timeline for subsequent milestones ensuring alignment with project objectives.

$8,000 USD

1. Completion of a technical report and framework design document reviewed and approved by key stakeholders. 2. Clear, actionable implementation plans for subsequent milestones.

Develop and implement information-theoretic concept blending algorithms in MeTTa. The implementation will focus on combining existing concepts into innovative abstractions while balancing novelty and coherence. Algorithms will be optimized for integration with Hyperon’s Distributed Atomspace (DAS).

1. Fully implemented and documented concept blending algorithms in MeTTa. 2. Integration of these algorithms into Hyperon including test cases to validate their functionality. 3. Initial results demonstrating basic concept blending capabilities.

$12,000 USD

1. Successful execution of blending algorithms in MeTTa, with verified functionality through test cases. 2. Demonstration of the ability to generate meaningful and novel concept abstractions.

Extend traditional FCA into fuzzy and paraconsistent domains implementing algorithms in MeTTa. These techniques will enable reasoning under uncertainty and inconsistency enhancing Hyperon’s flexibility in concept formation. Algorithms will be tested for scalability and compatibility with the Atomspace.

1. Implemented fuzzy and paraconsistent FCA algorithms in MeTTa. 2. Test results showcasing the system’s ability to handle uncertain and inconsistent data during concept formation. 3. Documentation of the algorithms their theoretical basis and implementation details.

$12,000 USD

1. Verified performance of fuzzy and paraconsistent FCA algorithms through comprehensive testing. 2. Successful integration into Hyperon, demonstrating improved flexibility and reasoning capabilities.

Develop a creativity evaluation framework for assessing the novelty and coherence of generated concepts. The framework will include LLM-based tools or multi-agent systems to measure creativity supported by human validation to ensure alignment with project goals.

1. Implemented LLM-based evaluation tools for automated creativity assessment. 2. Human evaluation protocols for validating the novelty and logical consistency of generated concepts. 3. A detailed report on the evaluation process and findings including recommendations for improvement.

$8,000 USD

1. Demonstration of the creativity evaluation framework in action, with consistent results across test cases. 2. Positive feedback from stakeholders on the reliability and utility of the evaluation methods.

Conduct a comprehensive demonstration of the implemented concept blending and FCA algorithms showcasing their ability to generate novel and meaningful concepts. Prepare a final report summarizing the project outcomes challenges and potential next steps for further research.

1. A live or recorded demonstration of the system generating and evaluating concepts. 2. Final report detailing the project’s results including performance metrics key findings and lessons learned. 3. Recommendations for future work to advance Hyperon’s concept formation capabilities.

$5,000 USD

1. Successful demonstration of the system to stakeholders, with clear evidence of its ability to meet project objectives. 2. Approval of the final report by the project’s review committee.