This milestone involves creating the entire research plan for this proposal. This includes a detailed outline and timeline estimates for the work to be done. This milestone also includes creating rough implementations of the two concept blending algorithms—the information theoretic and uncertain FCA algorithms. As part of planning the milestone will also contain a rough “toy” implementation of a concept blending function in MeTTa and the Hyperon Atomspace—this is to setup the integration between the concept blending algorithm and Hyperon and ensure it works as intended.

The deliverable for this milestone would be a document containing the research plan for this proposal as well as a showcase of the rough implementation of the two cluster blending algorithms. Another deliverable here is an early version of the MeTTa concept blending algorithm integrated within the Hyperon Atomspace.

$6,000 USD

The success criterion here is the successful creation of a reasonable and realistic plan, as well as a good implementation of the cluster blending algorithms. Plus, the success criterion of the “toy” implementation of the algorithm is that the algorithm functions without errors and can integrate successfully with the overall Hyperon Atomspace.

This milestone marks the implementation of each of the modules mentioned in the proposal—the information theoretic algorithm the uncertain FCA algorithm and the LLM based evaluator. These modules will be implemented in Python—originally—to enable faster development and more convenient testing. The final implementation of course will be in MeTTa. Once the modules are implemented both the algorithms will be compared using the LLM based judge system to evaluate their effectiveness in concept blending.

The deliverable here will be the implementation of both algorithms and the LLM based evaluator as well as the final report on the results of the comparison containing the information regarding which is the better algorithm for concept blending. The report will contain the complete data from 10 iterations of the LLM judge system to ensure an accurate and robust evaluation.

$12,000 USD

The success criterion for this milestone is the successful implementation of the two concept blending algorithms as well as the LLM based evaluation system. Another success criterion here is the delivery of the final report of the comparison between the two algorithms, and thus, the knowledge of which algorithm is more suitable to implement.

As the final milestone this one contains the implementation of the final chosen algorithm in MeTTa and integrated with Hyperon’s Atomspace. Naturally the system will be designed professionally to meet the Non-Functional Requirements such as making it modular and extensible as well as well-commented and documented. This milestone also includes the completion of all accompanying documentation including writing a report on how to use and extend the software and creating an interface to let the community use the concept blending algorithms.

The deliverable for this milestone is the implementation of the final concept blending algorithm into Hyperon’s Atomspace a report explaining how to use and extend the software an interface to use the concept blending algorithms any other required documentation. The intention behind the documentation is to promote community usage and development of the concept blending algorithms and they will be designed to promote that.

$12,000 USD

The primary success criterion for this milestone is a successful implementation of the final concept blending algorithm into Atomspace. Another success criterion here is adoption of the interface and documentation by the SingularityNET community, with the these services being intuitive and easy to understand by community members. With a successful implementation and reception, this milestone—and this project—can be marked complete.