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This lecture covers abductive reasoning and search algorithms, focusing on the concepts of search without costs, search with costs, and computation time. It explores examples like diagnosing an electrical circuit and discusses the monotonicity of deduction. The lecture delves into logical inferences and the best practices for problem-solving through search algorithms. It also explains the formalization of search algorithms, the generation of successors, and the criteria for success. The lecture concludes with a detailed explanation of heuristic search algorithms, such as A*, and their applications in optimizing solutions.