Integrating Generative AI Models with the Common Model of Cognition for Robust Hybrid Intelligence

This paper proposes a theoretical framework for adapting the Common Model of Cognition (CMC) to incorporate large-scale generative neural networks, enabling a seamless integration of connectionist and symbolic approaches to modeling human-like intelligence.