Case-Based Reasoning (CBR) is a problem-solving paradigm that uses past experiences to understand and solve new problems. It involves retrieving a similar past case from a case library, adapting its solution to fit the current situation, and learning from the outcome. CBR is characterized by its reliance on historical data and its iterative learning process, making it particularly useful in domains where knowledge is complex and dynamic. Common use cases include medical diagnosis, legal reasoning, and customer support, where solutions can be informed by similar past instances.
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