Case-Based Approximate Reasoning

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Case-based reasoning (CBR) is a prominent methodology in artificial intelligence that addresses new challenges by drawing on previously solved similar problems. It operates by utilizing individual experiences, represented as cases, to inform problem-solving. The effectiveness of CBR hinges on the assumption that similar problems yield similar solutions, allowing for the generalization of knowledge from past experiences to new situations. This approach emphasizes the importance of historical context in developing intelligent systems.