Navigating Symbolic Reasoning and Uncertainty

This chapter explores the difficulties of encoding human expertise into logical formats, emphasizing the complexities of symbolic reasoning in the 80s and 90s. It discusses the role of abstractions in machine reasoning and analyzes Markov Decision Processes, highlighting the impact of uncertainty and the need for approximations in modeling real-world scenarios. The conversation ultimately underscores the limitations of formal models and the nuanced interplay between human intuition and computational methods.