A knowledge-level task model of adaptation in case-based reasoning

被引：0
|
作者：
Fuchs, B
Mille, A
机构：
[1] Univ Lyon 3, IAE Equip MODEME, F-69239 Lyon 02, France
[2] CPE Lyon, LISA, F-69616 Villeurbanne, France
来源：
CASE-BASED REASONING RESEARCH AND DEVELOPMENT | 1999年 / 1650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：
The adaptation step is central in case-based reasoning (CBR), because it conditions the obtaining of a solution to a problem. This step is difficult from the knowledge acquisition and engineering points of view. We propose a knowledge level analysis of the adaptation step in CBR using the reasoning task concept. Our proposal is based on the study of several CBR systems for complex applications which imply the adaptation task. Three of them are presented to illustrate our analysis. We sketch from this study a generic model of the adaptation process using the task concept. This model is in conformity with other CBR formal models.
引用
收藏
页码：118 / 131
页数：14
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