Large language models (LLMs), crucial for various applications such as automated dialog systems and data analysis, often struggle in tasks necessitating deep cognitive processes and dynamic decision-making. A primary issue lies in their limited capability to engage in significant reasoning without human intervention. Most LLMs function on fixed input-output cycles, not permitting mid-process revisions based…
