2024/01/25 by Robert West, West, Robert L., Spencer Eckler +9
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Cognitive Science and Education Research #Cognitive Science and Mapping #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
paper · pdf · doi:10.48550/arxiv.2403.18827
openalex publication_date 2024/01/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This article presents a theoretical framework for adapting the Common Model of Cognition to large generative network models within the field of artificial intelligence. This can be accomplished by restructuring modules within the Common Model into shadow production systems that are peripheral to a central production system, which handles higher-level reasoning based on the shadow productions' output. Implementing this novel structure within the Common Model allows for a seamless connection between cognitive architectures and generative neural networks.