I have proposed a new theoretical AGI Architecture that explains how current AI models are inadequate for imitating Human Intelligence and also provides an architecture that is theoretically capable of such a feat.
This Architecture introduces many ideas simultaneously and makes a lot of attempts at uniting many research ideas popular currently. Some such Ideas are:
Asynchronous Sparse Mesh (ASM) Architecture
Multi-Tier Learning
Introduction of Emotions to an AGI model
Evolvable Intelligence
I gladly invite any technical and biological critiques on this theory, especially on:
Hardware Assumptions
Training Methods
Philosophical Claims
Feasibility
For the full proposal, visit this GitHub Repository;
Embodied Asynchronous Multi-Tier Artificial General Intelligence Architecture v1.0.0
I have proposed a new theoretical AGI Architecture that explains how current AI models are inadequate for imitating Human Intelligence and also provides an architecture that is theoretically capable of such a feat.
This Architecture introduces many ideas simultaneously and makes a lot of attempts at uniting many research ideas popular currently. Some such Ideas are:
Asynchronous Sparse Mesh (ASM) Architecture
Multi-Tier Learning
Introduction of Emotions to an AGI model
Evolvable Intelligence
I gladly invite any technical and biological critiques on this theory, especially on:
Hardware Assumptions
Training Methods
Philosophical Claims
Feasibility
For the full proposal, visit this GitHub Repository;
Embodied-Asynchronous-Multi-Tier-AGI
Looking forward to a serious discussion.