Comparative Analysis of Cognitive Architectures: Strengths and Limitations in AI Systems

Abstract

Cognitive architectures aim to provide a comprehensive framework for modeling human-like intelligence in artificial systems. This paper reviews key cognitive architectures, exploring their structures, functionalities, and applications. We discuss classical and contemporary models, highlighting their strengths, limitations, and potential advancements. Our focus includes the integration of cognitive theories with practical implementations in artificial intelligence (AI), emphasizing the importance of such architectures in advancing AI capabilities.