Accelflare
Project OwnerAccelflare LTD UK www.accelflare.com
We propose a Cognitive Quotient (CQ)-based motivation framework designed for AGI systems within the Hyperon architecture. By quantifying Descriptive, Knowledge, and Reasoning capabilities, this modular system enables adaptive motivation shifts in AGI agents. The framework supports human-like and alien motivational logic, integrates with ECAN, DAS, and MeTTa, and is optimized for real-time reasoning. Initial deliverables include a functional prototype, symbolic logic library, and use-case validations in chatbot and virtual agent environments.
Develop a modular and extensible framework for integrating various motivational systems into AGI architectures, supporting both human-like and "alien digital" intelligences. This could be done as a highly detailed and precise specification, or as a relatively simple software prototype with suggestions for generalization and extension. Bids are expected to range from $15,000 - $30,000.
In order to protect this proposal from being copied, all details are hidden until the end of the submission period. Please come back later to see all details.
Design a formalized CQ-based motivational architecture. Define how Descriptive Knowledge and Reasoning (D-K-R) scores translate into symbolic motivational states. Establish motivational flow rules using FSM Regex and MeTTa representations.
Technical design document Symbolic model: FPBG + FSM + Regex mappings MeTTa templates for initial motivator logic Timeline and testing plan
$4,000 USD
Accepted by reviewers as a valid, extensible symbolic framework Demonstrates logical motivation shift mapping from CQ values
Implement a working prototype that uses CQ scores to drive motivational changes in agents. Create a multi-agent interaction simulation (e.g. chatbot or metaverse-style agent) where goal prioritization changes based on D-K-R logic.
CQ core module in Python/MATLAB/Javascript/MeTTa Agent simulation system with CQ feedback loop Preliminary ECAN and DAS plugin mockups Technical validation results
$8,000 USD
Agents demonstrate dynamic motivation adaptation Symbolic CQ scoring loop fully operational MeTTa-based motivator successfully drives decisions
Complete and package the CQ Motivator system. Finalize symbolic models polish test environments and deliver full technical documentation. Showcase limited research modules and outline the commercial application roadmap.
Final MeTTa motivator library Project documentation & integration guide Summary demo video of agent motivation dynamics Licensing structure and roadmap for commercial scale-up
$8,000 USD
Reviewer-approved framework System fully tested in multi-agent setting Project published with research-facing documentation
Reviews & Ratings
Please create account or login to write a review and rate.
Check back later by refreshing the page.
© 2025 Deep Funding
Join the Discussion (0)
Please create account or login to post comments.