Develop a framework for AGI motivation systems

Longer description

Context And Background: 

SingularityNET Foundation, in collaboration with other partners such as the OpenCog Foundation and TrueAGI, is working toward a scalable implementation of the Hyperon AGI framework running on decentralized infrastructure, and toward implementation of the PRIMUS cognitive architecture within this framework.

Hyperon and PRIMUS are complex systems involving multiple components, which need to demonstrate appropriate functionalities both individually and in combination.  
This RFP aims to address a portion of this overall need, via funding the initial iteration of one significant component of PRIMUS within Hyperon.

The goal of this project is to develop a modular and extensible framework that supports a variety of motivational systems, including but not limited to Psi and OpenPsi. This framework should enable the seamless integration of these systems within AGI architectures like PRIMUS (formerly OpenCog) Hyperon, supporting not only human-like motivations but also the potential for “alien digital” intelligences with non-human motivational structures.

The framework must dynamically adjust motivational priorities in response to internal states and external stimuli, facilitating adaptive behavior in complex and unpredictable environments. Additionally, it should allow for alignment with overarching human ethical guidelinest, embedding mechanisms to guide AGI behavior in accordance with human values and socially beneficial outcomes. Applicability within PRIMUS Hyperon infrastructure is the intent, ensuring the framework can be used to guide the development of and/or be implemented within core components such as ECAN (Economic Attention Allocation Network), DAS (Distributed Atomspace), and the MeTTa language.

Collaboration:

This RFP will be followed by subsequent RFPs for applications that leverage Hyperon/PRIMUS to carry out various applications, and that aim to guide Hyperon/PRIMUS systems in cognitive development toward beneficial AGI

RFP Expected Outcomes:

• Flexible motivational framework
  • Creation of a versatile framework that can integrate various motivational systems and adapt to different types of AGI, including human-like and alien digital intelligences.
• Scalability and adaptability
  • A scalable system capable of dynamically adjusting motivational priorities based on internal and external factors.
• Ethical alignment
  • Consider exploring how AGI systems operate with motivational drives aligned with human values, fostering positive and socially beneficial behavior.
• Impact on Hyperon
  • This would become an ntegral framework to be used within Hyperon. Specifically, it could interact with several key elements of Hyperon such as:
    • ECAN (Economic Attention Allocation Network) Helping to allocate motivational priorities dynamically, influencing how ECAN manages resources and attention within the AGI.
    •   DAS (Distributed Atomspace): Storing and managing the motivational states and decisions within the shared knowledge base.
    • MeTTa Language: The framework's logic and rules could be expressed and managed through MeTTa, allowing for flexible and complex motivation-driven behaviors within the AGI system.
• Foundation for future research
  • Establishment of a base for continued research and innovation in AGI motivation systems, paving the way for future advancements.