Mapping goals and kinds of explanations to the knowledge containers of case-based reasoning systems

被引：0
|
作者：
Roth-Berghofer, TR
Cassens, J
机构：
[1] Univ Kaiserslautern, Dept Comp Sci, Knowledge Based Syst Grp, D-67653 Kaiserslautern, Germany
[2] German Res Ctr Artificial Intelligence DFKI GMBH, Knowledge Management Dept, D-67663 Kaiserslautern, Germany
[3] Norwegian Univ Sci & Technol, Dept Comp & Informat Sci, N-7491 Trondheim, Norway
来源：
CASE-BASED REASONING RESEARCH AND DEVELOPMENT, PROCEEDINGS | 2005年 / 3620卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Research on explanation in Case-Based Reasoning (CBR) is a topic that gains momentum. In this context, fundamental issues on what are and to which end do we use explanations have to be reconsidered. This article presents a prelimenary outline of the combination of two recently proposed classifications of explanations based on the type of the explanation itself and user goals which should be fulfilled. Further on, the contribution of the different knowledge containers for modeling the necessary knowledge is examined.
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页码：451 / 464
页数：14
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