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The paper discusses what is needed to address the limitations of currentLLM-centered AI systems. The paper argues that incorporating insights fromhuman cognition and psychology, as embodied by a computational cognitivearchitecture, can help develop systems that are more capable, more reliable,and more human-like. It emphasizes the importance of the dual-processarchitecture and the hybrid neuro-symbolic approach in addressing thelimitations of current LLMs. In the opposite direction, the paper alsohighlights the need for an overhaul of computational cognitive architectures tobetter reflect advances in AI and computing technology. Overall, the paperadvocates for a multidisciplinary, mutually beneficial approach towardsdeveloping better models both for AI and for understanding the human mind.

Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?