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

Understand

The paper discusses what is needed to address the limitations of current LLM-centered AI systems.

• The paper argues that incorporating insights from human cognition and psychology, as embodied by a computational cognitive architecture, can help develop systems that are more capable, more reliable, and more human-like.
• It emphasizes the importance of the dual-process architecture and the hybrid neuro-symbolic approach in addressing the limitations of current LLMs.
• In the opposite direction, the paper also highlights the need for an overhaul of computational cognitive architectures to better reflect advances in AI and computing technology.