案例推理

Künstliche Intell. Pub Date : 1900-01-01 DOI:10.1142/9789812389718_0023

R. Bergmann, K. Althoff, Mirjam Minor, M. Reichle, Kerstin Bach

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引用次数: 1178

摘要

基于案例的推理(CBR)是人工智能的一个子领域，它处理基于经验的问题解决。CBR植根于不同的学科，如认知科学、机器学习和基于知识的系统。今天，它是一个建立良好的研究领域，产生了丰富多样的具体方法，以及为特定任务和领域实现这些方法的应用程序。本文简要介绍了CBR的总体概况，并进一步讨论了选定主题的最新进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Case-Based Reasoning

Case-based reasoning (CBR) is a sub-field of Artificial Intelligence that deals with experience-based problem solving. CBR has its roots in different disciplines such as cognitive science, machine learning, and knowledge-based systems. Today, it is a well established research field of its own, which produced a rich variety of specific methods, as well as applications implementing those methods for particular tasks and domains. This paper gives a compact overview of CBR in general and further discusses recent advancements in selected topics.

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来源期刊

Künstliche Intell.

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