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Navigating Reasoning in AI
This chapter delves into the complexities of symbolic reasoning and expert systems in AI, highlighting the challenges of translating human knowledge into logical statements. It discusses the significance of abstraction and diverse reasoning styles, particularly in the context of robotics and machine learning. The chapter also introduces Partially Observable Markov Decision Processes (POMDPs), emphasizing their role in modeling uncertainties and real-world decision-making processes.