Bridging Generative Networks with the Common Model of Cognition

Authors

  • Robert L. West Carleton University
  • Spencer Eckler Carleton University
  • Brendan Conway-Smith Carleton University
  • Nico Turcas Carleton University
  • Eilene Tomkins-Flanagan Carleton University
  • Mary Alexandria Kelly Carleton University

DOI:

https://doi.org/10.1609/aaaiss.v2i1.27709

Keywords:

Cognitive Architecture, Common Model, Artificial Intelligence, Generative Model

Abstract

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.
AAAI Fall Symposium 2023 Proceedings Cover

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Published

2024-01-22

How to Cite

West, R. L., Eckler, S., Conway-Smith, B., Turcas, N., Tomkins-Flanagan, E., & Kelly, M. A. (2024). Bridging Generative Networks with the Common Model of Cognition. Proceedings of the AAAI Symposium Series, 2(1), 415-421. https://doi.org/10.1609/aaaiss.v2i1.27709

Issue

Vol. 2 No. 1: Proceedings of the 2023 AAAI Fall Symposia

Section

Integration of Cognitive Architectures and Generative Models