Case-based reasoning

  • Authors:

  • David B. Leake

  • Affiliations:

  • -

  • Venue:
  • Encyclopedia of Computer Science
  • Year:
  • 2003

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Abstract

Case-based reasoning (CBR) is an artificial intelligence paradigm for reasoning and learning. Case-based reasoning solves new problems by retrieving stored records of prior problem-solving episodes (cases) and adapting their solutions to fit new circumstances. Each processing episode provides a new case that is stored for future reuse, making learning a natural side-effect of the reasoning process. Case-based reasoning is also studied within cognitive science as a model of human reasoning: studies show that people use recollections of prior problems to guide their reasoning in a wide range of tasks, such as programming, mathematical problem solving, diagnosis, decision making, and design.