
Darshana Patel
Project OwnerProject Lead & Framework Architect – responsible for vision, design, research synthesis, and integration strategy of the IONATION® motivational framework within AGI systems.
IONATION® introduces a vibrational intelligence framework for adaptive AGI motivation systems, merging human-like and non-human digital intelligences. This dynamic, modular system adjusts AGI motivations based on internal and external factors, ensuring ethical alignment and fostering cooperative outcomes. By embedding human values and emotional intelligence, the framework empowers AGI to evolve and adapt, unlocking sustainable growth. A groundbreaking solution to guide AGI systems, this project lays the foundation for an integrated, conscious future of AI.
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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Conduct foundational research to define how IONATION®’s vibrational intelligence model maps onto AGI motivational architecture. This includes analyzing integration points with Hyperon/PRIMUS components (e.g. ECAN DAS MeTTa) surveying existing motivational models (e.g. OpenPsi CPM SDT) and identifying design opportunities for adaptive motivation layers. Define the IONATION® ontology and principles relevant to dynamic AGI behavior across human-like and non-human (alien digital) intelligences.
A comprehensive research plan outlining the IONATION®-AGI alignment strategy; key integration principles with PRIMUS components; vibrational logic flow diagrams; annotated motivation model comparisons; an agile task timeline for development. Draft of the motivational framework architecture.
$6,000 USD
Completion of a clear, well-structured research plan approved by the review team; documentation must demonstrate theoretical rigor, understanding of AGI motivation challenges, and feasibility of implementing IONATION® principles within Hyperon/PRIMUS architecture.
Develop a working prototype or simulation that demonstrates the core motivational logic of the IONATION® framework in a controlled environment. Integrate dynamic flow-state modeling based on vibrational inputs (simulated internal/external stimuli). Configure use cases such as chatbot decision-making and a virtual agent scenario (e.g. metaverse or digital twin) to test adaptive motivational behavior.
Prototype code logic map simulated test environment sample agent behavior outputs under changing motivational conditions and initial integration documentation. Annotated use cases: one for a chatbot and one for a virtual agent demonstrating how motivations shift in response to simulated stimuli.
$12,000 USD
A demonstrable, functioning prototype illustrating motivational priority adjustment through IONATION® logic. Evidence of motivational fluidity and resonance alignment in at least two test scenarios. Review team validates model novelty, adaptability, and conceptual integration with Hyperon principles.
Refine and document the IONATION® framework for AGI motivation systems. Prepare a detailed report highlighting conceptual depth test results limitations scalability and ethical alignment mechanisms. Define a roadmap for full integration into PRIMUS/Hyperon. Address how the framework supports motivation layering across diverse AGI agents and aligns with human and societal values.
Final whitepaper annotated architecture design documented prototype code (with license) integration guidance for ECAN/DAS/MeTTa system diagrams use-case walkthroughs ethical alignment framework and future development roadmap. Optional: recorded demo or visualization of motivational logic in action.
$12,000 USD
Delivery of all materials per the RFP; documentation demonstrates clarity, scalability, and cross-domain applicability. Review team accepts the roadmap and recognizes the framework’s viability as a foundation for future motivational system research within SingularityNET’s infrastructure.
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