Integration of Large Language Models within Cognitive Architectures for Autonomous Robots

Understand

Symbolic reasoning systems have been used in cognitive architectures to provide inference and planning capabilities.

• However, defining domains and problems has proven difficult and prone to errors.
• Moreover, Large Language Models (LLMs) have emerged as tools to process natural language for different tasks.
• In this paper, we propose the use of LLMs to tackle these problems.