Neurotech Controls for AGI Motivational Framework

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Gabriel Axel Montes
Project Owner

Neurotech Controls for AGI Motivational Framework

Expert Rating

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Overview

With the increasing interest in brain-computer interfaces (BCI), there is as of yet no framework that links brains with AGI systems. In collaboration with key SingularityNET ecosystem stakeholders, neuroscientist Gabriel Axel Montes (Neural Axis), has been developing a multi-faceted AGI motivation framework rooted in cognitive (neuro)science & psychological theories that allows for the adjustment of personality parameters of AI agents for a variety of applications, e.g. robotics, finance, & metaverse characters. With this proposal, a team of neuroscientists aim to identify a mechanism to control mental-emotional parameters using brain signals, setting a foundation for a brain-to-AI pipeline.

RFP Guidelines

Develop a framework for AGI motivation systems

Internal Proposal Review
  • Type SingularityNET RFP
  • Total RFP Funding $40,000 USD
  • Proposals 13
  • Awarded Projects n/a
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SingularityNET
Aug. 13, 2024

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.

Proposal Description

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  • Total Milestones

    4

  • Total Budget

    $20,000 USD

  • Last Updated

    8 Dec 2024

Milestone 1 - Motivational system analysis

Description

Existing work to date on the motivational framework will be reviewed and analyzed for existing “levers” for neurotech control. Neurocognitive/psychological theories will be examined to collect a list of potential functions that can be brain-controlled.

Deliverables

A list of potential functions/features of the existing motivational framework (work already undertaken by the main proposer) that can be brain-controlled with a brief explanation of why each function may be relevant. Additional motivational functions/features not yet explored may be listed if relevant.

Budget

$5,000 USD

Success Criterion

Motivational features have been narrowed down and identified for further work.

Milestone 2 - Identification of brain features

Description

For the features of the motivational framework that may be brain-controlled there will be a review of relevant neuroscience literature to identify brain signals that could map to the motivational framework and/or brain signals/features that could lead to the creation of novel motivational levers. The brain signals will ideally map to the above proposed potential BCI use cases. These use cases will be prioritized in order to promote possible product-oriented functionality; that said discoveries made along the way during the course of the project may yield novel insights and depending on viability and success with each use case the project will emphasize the functionalities that are optimally workable. In this phase a relevant neurotech/BCI device may be acquired/purchased ideally a consumer-grade one in order to conduct experiments.

Deliverables

1. Conceptual outline and schema demonstrating the functional linkages between the selected brain signals/features and the motivational framework features. 2. If needed acquisition of viable neurotech/BCI device(s) for data collection.

Budget

$7,000 USD

Success Criterion

Relevant brain features have been made explicit for further work.

Milestone 3 - Functionality coding; use case exploration

Description

Based on the discoveries and outcomes of previous milestones BCI functionality will begin to be coded to modulate the relevant motivational features. This is indicative of initial progress that would be towards a prototype functionality (in the subsequent milestone). The modulatable motivational features are middle-layer “levers” between the brain and Hyperon. Functionalities may be covered that are outside the bounds of the previously found motivational and brain features if new ones have been identified since the previous milestones.

Deliverables

1. Evidence of coding/programming progress on connecting the neurotech device to motivational features in order to modulate them. 2. Optional: Viable use cases selected (target=2 use cases) with evidence of additional (at least preliminary) coding demonstrating application toward use cases. Optional due to the dependency on progress of Deliverable #1.

Budget

$4,000 USD

Success Criterion

Coding has commenced and is underway to program relevant functionality of a BCI.

Milestone 4 - Prototype

Description

This stage will encompass the finalization of backend code that allows selected brain signals to modulate motivational framework features. This will constitute functionality that allows someone (either a researcher or an end user) to use a specified BCI system(s) to control one or more motivational functions e.g. valence arousal a form of attention focus relaxation meditative state(s) etc.

Deliverables

1. Backend code that directly links BCI signal(s)/feature(s) to motivational feature(s) allowing for modulation of the latter by the former. This will allow use of representative neurotech signals e.g. EEG to modulate parameters in a motivational system. 2. Optional: Depending on the selected use case(s) coding that allows the BCI signals to be used as input into more fleshed out applications for instance a UI for controlling the expressions or personas of LLM-based characters. Optional because dependent on how distinct this is from Deliverable #1; depending on the use case these may overlap substantially and thus be part and parcel of the same application. 3. Optional: Front-end basic interface for BCI control of motivational features. As previously stated the purpose of this stage of the project is to create the essential functionality that allows BCI to control select motivational features and possibly other functions. If there is available time and capacity a basic front-end may be built to allow a user to view the underlying functionality and/or interact with the system in at least a rudimentary manner.

Budget

$4,000 USD

Success Criterion

Backend functionality that allows selected brain signals/features to modulate features/elements of a motivational framework, e.g. valence, arousal, etc.

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Expert Ratings

Reviews & Ratings

  • Expert Review 1

    Overall

    0.0

    • Compliance with RFP requirements 5.0
    • Solution details and team expertise 5.0
    • Value for money 0.0
    Clear approach, deliverables and success metrics

    This proposal builds further on the unique approach of Dr. Axel-Montes to apply it to the development of motivational frameworks for AGI architecture. This is a daring approach - quite innovative - and also quite high risk, but if successful can bring to high rewards in that having a framework to motivate artificial agents using human BCI signals is still of the SciFi domain, and realizing it would be a considerable breakthrough. For only 20K this is a true bargain!

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