Case-based reasoning

Case-based reasoning
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DOI:
10.1017/s0269888900006585
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发表时间:
1994-03
期刊:
The Knowledge Engineering Review
影响因子:
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通讯作者:
Ralph Bergmann;K. Althoff;Mirjam Minor;Meike Reichle;Kerstin Bach
Ralph Bergmann;K. Althoff;Mirjam Minor;Meike Reichle;Kerstin Bach
中科院分区:
其他
文献类型:
--
作者:
Ralph Bergmann;K. Althoff;Mirjam Minor;Meike Reichle;Kerstin Bach

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基于案例的推理(CBR)系统从经验中推理:它们通过检索相关的先前案例并使其适应新的情况来解决新问题。1988年,由DARPA赞助的第一个基于案例的推理研讨会确定了基于案例的推理研究的理论基础和基本问题。从那时起,许多研究对CBR过程本身、CBR作为认知模型的有效性以及CBR技术的应用进行了考察。这项工作的结果包括基于案例的推理过程理论的改进,人类基于案例的推理的心理学证据,以及100多个CBR应用的领域。
Case-based reasoning (CBR) systems reason from experience: they solve new problems by retrieving relevant prior cases and adapting them to fit new situations. In 1988 the first case-based reasoning workshop, sponsored by DARPA, identified theoretical foundations and fundamental issues for case-based reasoning research. Since then, much investigation has examined the CBR process itself, the validity of CBR as a cognitive model, and the application of CBR technology. The results of that work include refinements in theories of the case-based reasoning process, psychological evidence for human case-based reasoning, and the fielding of over 100 CBR applications.