An exception handling of rule-based reasoning using case-based reasoning

被引：8
|
作者：
Lee, MR [1 ]
机构：
[1] Yosu Natl Univ, Sch Multimedia, Dept Multimedia Informat & Syst, Yosu 550749, Junnam, South Korea
来源：
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS | 2002年 / 35卷 / 03期
关键词：
case-based reasoning; rule-based reasoning; knowledge acquisition; exception handling;
D O I：
10.1023/A:1021161418286
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose the CCAR (Combining Case-based And Rule-based reasoning) model for an exception handling of Rule-based Reasoning using Case-based Reasoning. The central idea of the model proposed in this paper is to represent the exception of a rule as a case, and to utilize the case for a solution to a problem, and then to search the case memory to retrieve a case which violates the conclusion of a rule. If the similarity between a target problem and the selected case is high, the conclusion of a case is applied. Otherwise, the conclusion of rule-based reasoning is applied.
引用
收藏
页码：327 / 338
页数：12
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