Towards Human-Level Artificial Intelligence
Eitan Michael AzoffThe focus on visual processing and thinking and the possible role of brain lateralization toward visual thinking and intelligence.
Diffuse decision making by ensembles of neurons.
The inside-out model to give HLAI an inner "life" and the possible role for cognitive architecture implementing the scientific method through the plan-do-check-act cycle within that model (learning to learn).
A neuromodulation feature such as a machine equivalent of dopamine that reinforces learning.
The embodied HLAI machine, a neurorobot, that interacts with the physical world as it learns.
This book concludes by explaining the hypothesis that computer simulation is sufficient to take AI research further toward HLAI and that the scientific method is our means to enable that progress. This book will be of great interest to a broad audience, particularly neuroscientists and AI researchers, investors in AI projects, and lay readers looking for an accessible introduction to the intersection of neuroscience and artificial intelligence.