Year: 2003
Type: article
Abstract: The SHRUTI model demonstrates how complex cognitive functions can be realized by neural circuitry.This paper addresses how some key elements of this circuitry can be learned in a neurally plausible manner.Two basic mechanisms, causal Hebbian learning and recruitment learning, are used to learn relational concepts and causal rules.
Authors: Carter Wendelken, Lokendra Shastri
Institution: University of California, Berkeley
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W2767770648