Case-Based Reasoning

R. Bergmann, K. Althoff, Mirjam Minor, M. Reichle, Kerstin Bach
{"title":"Case-Based Reasoning","authors":"R. Bergmann, K. Althoff, Mirjam Minor, M. Reichle, Kerstin Bach","doi":"10.1142/9789812389718_0023","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":165875,"journal":{"name":"Künstliche Intell.","volume":"36 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1178","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Künstliche Intell.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9789812389718_0023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1178

Abstract

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.
案例推理
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信