Case-Based Approximate Reasoning

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Case-based reasoning (CBR) is a pivotal methodology in artificial intelligence that addresses new challenges by drawing on previously solved similar problems. It operates on the principle that past experiences, represented as cases, can inform solutions to current issues. This approach hinges on the assumption that similar problems tend to have analogous solutions, allowing for effective generalization and problem-solving based on historical data.