Metta Schemes

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SubThought
Project Owner

Metta Schemes

Expert Rating

1.0

Overview

Create adjunct data stores for the representation and processing of preconceptual and conceptual neurosymbolic schemata.

RFP Guidelines

Experiment with concept blending in MeTTa

Complete & Awarded
  • Type SingularityNET RFP
  • Total RFP Funding $100,000 USD
  • Proposals 6
  • Awarded Projects n/a
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SingularityNET
Oct. 4, 2024

This RFP seeks proposals that experiment with concept blending techniques and formal concept analysis (including fuzzy and paraconsistent variations) using the MeTTa programming language within OpenCog Hyperon. The goal is to explore methods for generating new concepts from existing data and concepts, and evaluating these processes for creativity and efficiency.

Proposal Description

Company Name (if applicable)

SubThought Corp

Open Source Licensing

Custom

Open source Code will be bundled and provided in the final solution. No restrictions on re-use of open source components.

Links and references

https://subthoughtcorp.com

 

Additional videos

https://youtu.be/E2p8IbJ5y0U

 

https://youtu.be/JaxSAV8UNYI

 

https://youtu.be/5KAdta2H-fY

 

 

Proposal Video

Not Avaliable Yet

Check back later during the Feedback & Selection period for the RFP that is proposal is applied to.

  • Total Milestones

    3

  • Total Budget

    $60,000 USD

  • Last Updated

    5 Dec 2024

Milestone 1 - Project Initiation

Description

Project definition document.

Deliverables

Project definition document defining architecture scope and data & process definitions.

Budget

$10,000 USD

Success Criterion

Delivered document.

Milestone 2 - Open Source Components

Description

Repurposing open source code to meet requirements of this project.

Deliverables

Custo.ized open source libraries.

Budget

$30,000 USD

Success Criterion

Provide working libraries.

Milestone 3 - Metta integration

Description

Integrating Metta language with open source libraries

Deliverables

Working prototype of Metta language with scheme subsystem.

Budget

$20,000 USD

Success Criterion

Delivered working code.

Join the Discussion (1)

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1 Comment
  • 0
    commentator-avatar
    SubThought
    Feb 2, 2025 | 5:39 AM

    No due diligence was done by the Expert Reviewer: quote,  "Not wading through a 1.5 hour video to find relevant/targeted material." Such is life. It doesn't matter.  I'm reminded of the cartoon "Expert Answers Simple but Wrong (go left) Complex but correct (go right) with most people going left. (Sigh). Brief Synopsis: LLMs teach us about feature detectors (i.e., tokenizers) and associative memory. AlphaGo & AlphaZero combined associative memories with state space search.  This proposal combines logico-hierarchical memory units (named schemes, aka neural propositions) with associative memory and multistrategy search in both action space (via actuations) and knowledge space (via transmutations) to perform continuous online learning (without separate training and test phases). The Genesis video explains the scheme data structure used with robotic embodiments to do proprioception, interception, perception, and recollection. The Coordination video explains activation, association, belief propagation, problem solving (action synthesis and selection) and reasoning (operation synthesis). Applications in localization and mapping, language acquisition, and story understanding are explained.  The elements of AGI are not simplistic and cannot be glossed over. But these elements are easily understood to those who have open minds and patience.  No problem if this is not awarded. The research is solid and will be independently recognized, whether by this organization or another.  Thanks for taking the time to actually review the work before rendering a decision.

Expert Ratings

Reviews & Ratings

Group Expert Rating (Final)

Overall

1.0

  • Feasibility 1.0
  • Desirabilty 1.0
  • Usefulness 1.0
  • Expert Review 1

    Overall

    1.0

    • Compliance with RFP requirements 1.0
    • Solution details and team expertise 1.0
    • Value for money 1.0
    It's a very skeletal and incomplete application

  • Expert Review 2

    Overall

    1.0

    • Compliance with RFP requirements 1.0
    • Solution details and team expertise 1.0
    • Value for money 1.0

    Not wading through a 1.5 hour video to find relevant/targeted material.

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