
Pragadeesh
Project OwnerLeads full-stack development of the open-source AGI motivation system, including architecture design, prototype coding, ethical alignment integration, testing, documentation, and release.
This proposal presents an open-source-based motivational framework for AGI systems, integrating Psi theory, ECAN attention modeling, and ethical response mechanisms into a modular architecture. The system adapts internal drives dynamically, enabling scalable and ethical decision-making in AGI agents. A prototype will be developed using Python with MeTTa-style interface output, compatible with the Hyperon ecosystem. This foundation can evolve into a generalized plug-and-play motivational subsystem for future AGI platforms.
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.
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Duration: Week 1 to Week 2 Design a modular open-source motivation framework based on Psi theory and ECAN-style attention modeling. Define agent-agnostic architecture, motivational variables, state dynamics, and ethical logic layers compatible with Hyperon/MeTTa integration.
- Full technical architecture document - Motivation variable flowchart - Ethical logic mapping - Integration blueprint with open-source tools
$8,000 USD
Completed design documents and diagrams reviewed for feasibility and compliance with open-source AGI standards.
Duration: Week 3 to Week 10 Implement a lightweight Python-based AGI prototype agent capable of motivational state regulation and adaptive behavior. Simulate three environments, demonstrate motivational shifts, and produce MeTTa-compatible outputs. Integrate an ethical logic component for decision guidance.
- Working motivation agent (Python) - 3 scenario simulations - Ethical rule engine integration - MeTTa-style output formatting - Source code on GitHub (MIT License)
$15,000 USD
Agent successfully adapts to simulated inputs with documented motivational transitions and outputs validated across three tasks.
Duration: Week 11 to Week 16 Finalize documentation for end users and developers, prepare deployment instructions, and release the project as a public MIT-licensed GitHub repository. Prepare a short demo video highlighting motivational logic transitions and ethical output behaviors.
- Complete documentation (README, setup guide, logic walkthrough) - Demo video showing agent in action - Public GitHub release (code + license) - Issue tracker + support notes
$7,000 USD
Independent reviewers are able to run and test the system based on provided documentation. Final repository is publicly accessible and fully licensed.
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