Challenges of Logical Frameworks in AI

This chapter explores the hurdles in developing languages for artificial intelligence that can express complex reasoning, focusing on limitations in existing logic systems like Prolog and first-order logic. It discusses key concepts such as situational calculus, generalization issues with exceptions, and the frame problem, advocating for improved reasoning approaches. Ultimately, the chapter emphasizes the divergence between human intuitive reasoning and logical structures, highlighting the ongoing challenges in replicating human-like intelligence in machines.