Kolodner J L
College of Computing, Georgia Institute of Technology, Atlanta 30332-0280, USA.
Am Psychol. 1997 Jan;52(1):57-66. doi: 10.1037//0003-066x.52.1.57.
Case-based reasoning (CBR) focuses on analogy in the context of solving real-world problems. Its research methodology of computational modeling is aimed at deriving hypotheses about cognition. CBR's computational models show the roles of encoding, retrieval, and adaptation in analogical reasoning processes. In addition, its algorithms provide insight into what it might take to enhance human cognition. CBR as a plausible cognitive model can thus advise on educational philosophy, educational practice, and design of educational software.
基于案例的推理（CBR）专注于在解决现实世界问题的背景下进行类比。其计算建模的研究方法旨在推导关于认知的假设。CBR的计算模型展示了编码、检索和适应在类比推理过程中的作用。此外，其算法为增强人类认知所需的条件提供了见解。因此，作为一种合理的认知模型，CBR可以为教育理念、教育实践和教育软件设计提供建议。
