Emergent case-based reasoning applications

被引:7
|
作者
Lopez de Mantaras, Ramon
Cunningham, Padraig
Perner, Petra
机构
[1] CSIC, Artificial Intelligence Res Inst, Bellaterra 08193, Spain
[2] Univ Dublin Trinity Coll, Dept Comp Sci, AI Grp, Dublin 2, Ireland
[3] Inst Comp Vis & Appl Comp Sci, D-04107 Leipzig, Germany
来源
KNOWLEDGE ENGINEERING REVIEW | 2005年 / 20卷 / 03期
关键词
D O I
10.1017/S0269888906000658
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The basic principle underpinning case-based reasoning (CBR) is that new problems can be solved by reusing solutions to past problems. The generality of this idea means that CBR is finding application in a wide variety of areas. The special advantage of CBR is that a case can be a very convenient means of capturing knowledge, especially in weak theory domains where the relationship between causes and effects may not be well understood. Cases may embody more than problem-solving knowledge; the knowledge in a case may be a creative structure or a complex behavior pattern. The widespread applicability of this idea means that it has been exploited in a diverse range of areas across the arts and sciences. This article provides a brief summary of some of these applications.
引用
收藏
页码:325 / 328
页数:4
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