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A logical foundation for the case‐based reasoning cycle
Author(s) -
Finnie Gavin,
Sun Zhaohao
Publication year - 2003
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.10093
Subject(s) - case based reasoning , computer science , artificial intelligence , logical reasoning , similarity (geometry) , process (computing) , fuzzy logic , deductive reasoning , opportunistic reasoning , reasoning system , logical conjunction , model based reasoning , knowledge representation and reasoning , image (mathematics) , programming language , operating system
Case‐based reasoning (CBR) has drawn considerable attention in artificial intelligence (AI) fields with many successful applications in systems such as e‐commerce and multiagent systems. For the moment, research and development of CBR basically follows the traditional process model of CBR, i.e., the R 4 model and problem space model introduced in 1994 and 1996, respectively. However, there has been no logical analysis for this popular CBR model. This article will fill this gap by providing a unified logical foundation for the CBR cycle. The proposed approach is based on an integration of traditional mathematical logic, fuzzy logic, and similarity‐based reasoning. At the same time, we examine the CBR cycle from the knowledge‐based (KB) viewpoint. The proposed logical approach can facilitate research and development of CBR. © 2003 Wiley Periodicals, Inc.