DEEP Connects Bold Ideas to Real World Change and build a better future together.

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DEEP Connects Bold Ideas to Real World Change and build a better future together.

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HERMES
Type SingularityNET RFP
Funding Request $180,000 USD
RFP Guidelines Advanced knowledge graph tooling for AGI systems
Awarded Projects (1)
Modular Adaptive Goal and Utility System (MAGUS)
Type SingularityNET RFP
Funding Request $20,000 USD
RFP Guidelines Develop a framework for AGI motivation systems
Awarded Projects (1)
Modular Adaptive Goal and Utility System (MAGUS)
Type SingularityNET RFP
Funding Request $20,000 USD
RFP Guidelines Develop a framework for AGI motivation systems
RFP Ideas (0)
Proposals (1)
HERMES
Type SingularityNET RFP
Funding Request $180,000 USD
RFP Guidelines Advanced knowledge graph tooling for AGI systems
Contributions (4)
Feed Post Created 10 days ago
"Just delivered Milestone 4 of Modular Adaptive Goal and Utility System (MAGUS) – The final milestone focuses on testing MAGUS’s adaptability, ethical constraints, and decision-making robustness. The system will undergo simulated ethical dilemmas to validate its ability to balance autonomy, fairness, and risk mitigation. Additionally, this milestone will assess the feasibility of integrating MAGUS with existing AI architectures, particularly how it could interface with symbolic reasoning and planning systems. If applicable, exploratory tests will be conducted with general AI frameworks to refine integration pathways. A formal research paper summarizing MAGUS’s development, testing, and future directions will be prepared, ensuring broad dissemination of findings."
Feed Post Created 13 days ago
"Just delivered Milestone 3 of Modular Adaptive Goal and Utility System (MAGUS) – This milestone expands the decision-making framework by introducing metagoals and anti-goals, allowing MAGUS to self-optimize and regulate goal-setting dynamically. Metagoals enable the system to refine goal promotion and demotion mechanisms, optimizing long-term coherence. Anti-goals serve as constraints, discouraging actions that conflict with overarching priorities (e.g., energy efficiency, risk avoidance). Additionally, given the uncertainty around Hyperon’s action planning system, this milestone explores basic goal-directed action planning, potentially implementing a simple planner or behavior tree to demonstrate MAGUS in action."
Feed Post Created 14 days ago
"Just delivered Milestone 2 of Modular Adaptive Goal and Utility System (MAGUS) – This milestone focuses on testing and refining MAGUS’s adaptive goal structures in simulated environments, ensuring the system dynamically adjusts based on internal states and external stimuli. Additionally, exploratory prototyping will begin, investigating how MAGUS might interact with symbolic and sub-symbolic reasoning architectures. This includes studying potential interfaces with cognitive frameworks such as OpenCog Hyperon, PLN, and NARS, as well as more general AI decision-making systems. While no direct integration will be attempted, this milestone will evaluate the feasibility of such connections, ensuring MAGUS remains modular and adaptable to evolving AGI architectures."
Feed Post Created 22 days ago
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Recent Contributions
Feed Post Created 10 days ago
"Just delivered Milestone 4 of Modular Adaptive Goal and Utility System (MAGUS) – The final milestone focuses on testing MAGUS’s adaptability, ethical constraints, and decision-making robustness. The system will undergo simulated ethical dilemmas to validate its ability to balance autonomy, fairness, and risk mitigation. Additionally, this milestone will assess the feasibility of integrating MAGUS with existing AI architectures, particularly how it could interface with symbolic reasoning and planning systems. If applicable, exploratory tests will be conducted with general AI frameworks to refine integration pathways. A formal research paper summarizing MAGUS’s development, testing, and future directions will be prepared, ensuring broad dissemination of findings."
Feed Post Created 13 days ago
"Just delivered Milestone 3 of Modular Adaptive Goal and Utility System (MAGUS) – This milestone expands the decision-making framework by introducing metagoals and anti-goals, allowing MAGUS to self-optimize and regulate goal-setting dynamically. Metagoals enable the system to refine goal promotion and demotion mechanisms, optimizing long-term coherence. Anti-goals serve as constraints, discouraging actions that conflict with overarching priorities (e.g., energy efficiency, risk avoidance). Additionally, given the uncertainty around Hyperon’s action planning system, this milestone explores basic goal-directed action planning, potentially implementing a simple planner or behavior tree to demonstrate MAGUS in action."
Feed Post Created 14 days ago
"Just delivered Milestone 2 of Modular Adaptive Goal and Utility System (MAGUS) – This milestone focuses on testing and refining MAGUS’s adaptive goal structures in simulated environments, ensuring the system dynamically adjusts based on internal states and external stimuli. Additionally, exploratory prototyping will begin, investigating how MAGUS might interact with symbolic and sub-symbolic reasoning architectures. This includes studying potential interfaces with cognitive frameworks such as OpenCog Hyperon, PLN, and NARS, as well as more general AI decision-making systems. While no direct integration will be attempted, this milestone will evaluate the feasibility of such connections, ensuring MAGUS remains modular and adaptable to evolving AGI architectures."
Feed Post Created 22 days ago
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