A computational model of analogical reasoning

被引：0
|
作者：
Li, B
Zhao, QP
机构：
[1] Beijing University of Aeronautics and Astronautics,Department of Computer Science
来源：
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 1997年 / 40卷 / 02期
关键词：
analogical reasoning; case-based reasoning; machine learning; automatic reasoning;
D O I：
10.1007/BF02916955
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A computational model of analogical reasoning is presented, which divides analogical reasoning process into four subprocesses, i.c. reminding, elaboration, matching and transfer. Far each subprocess, its role and the principles it follows are given. The model is discussed in detail, including salient feature-based reminding, relevance-directed elaboration, an improved matching model and a transfer model, And the advantages of this model are summarized based on the results of BHARS, which is an analogical reasoning system implemented by this model.
引用
收藏
页码：214 / 224
页数：11
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