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Consistency Property of Finite FC-Normal Logic Programs
作者姓名:Yi-Song Wang  Ming-Yi Zhang  and Yu-Ping Shen
作者单位:[1]College of Computer Science and Technology, Guizhou University, Guiyang 550025, China [2]Guizhou Academy of Sciences, Guiyang 550001, China [3]Institute of Logic and Cognition, Sun Yat-Sen University, Guangzhou 510275, China
基金项目:This work is partially supported by the National Natural Science Foundation of China under Grant No. 60573009 and the Stadholder Foundation of Guizhou Province under Grant No. 2005(212). We are grateful to the anonymous reviewers' comments to the original version of the paper. We are also thankful to Prof. Jia-Huai You and Fang-Zhen Lin for their insightful discussions.
摘    要:Marek's forward-chaining construction is one of the important techniques for investigating the non-monotonic reasoning. By introduction of consistency property over a logic program, they proposed a class of logic programs, FC-normal programs, each of which has at least one stable model. However, it is not clear how to choose one appropriate consistency property for deciding whether or not a logic program is FC-normal. In this paper, we firstly discover that, for any finite logic programⅡ, there exists the least consistency property LCon(Ⅱ) overⅡ, which just depends onⅡitself, such that, Ⅱ is FC-normal if and only ifⅡ is FC-normal with respect to (w.r.t.) LCon(Ⅱ). Actually, in order to determine the FC-normality of a logic program, it is sufficient to check the monotonic closed sets in LCon(Ⅱ) for all non-monotonic rules, that is LFC(Ⅱ). Secondly, we present an algorithm for computing LFC(Ⅱ). Finally, we reveal that the brave reasoning task and cautious reasoning task for FC-normal logic programs are of the same difficulty as that of normal logic programs.

关 键 词:人工智能  逻辑程序  稳定模型  相容性
修稿时间:2006-09-062007-03-19

Consistency Property of Finite FC-Normal Logic Programs
Yi-Song Wang,Ming-Yi Zhang,and Yu-Ping Shen.Consistency Property of Finite FC-Normal Logic Programs[J].Journal of Computer Science and Technology,2007,22(4):554-561.
Authors:Yi-Song Wang  Ming-Yi Zhang  Yu-Ping Shen
Affiliation:1 College of Computer Science and Technology, Guizhou University, Guiyang 550025, China ;2 .Guizhou Academy of Sciences, Guiyang 550001, China ;3.Institute of Logic and Cognition, Sun Yat-Sen University, Guangzhou 510275, China
Abstract:Marek’s forward-chaining construction is one of the important techniques for investigating the non-monotonic reasoning. By introduction of consistency property over a logic program, they proposed a class of logic programs, FC-normal programs, each of which has at least one stable model. However, it is not clear how to choose one appropriate consistency property for deciding whether or not a logic program is FC-normal. In this paper, we firstly discover that, for any finite logic program Π, there exists the least consistency property LCon (Π) over Π, which just depends on Π itself, such that, Π is FC-normal if and only if Π is FC-normal with respect to (w.r.t.) LCon (Π). Actually, in order to determine the FC-normality of a logic program, it is sufficient to check the monotonic closed sets in LCon (Π) for all non-monotonic rules, that is LFC (Π). Secondly, we present an algorithm for computing LFC (Π). Finally, we reveal that the brave reasoning task and cautious reasoning task for FC-normal logic programs are of the same difficulty as that of normal logic programs. Electronic Supplementary Material  The online version of this article (doi:) contatins supplementary material, which is available to authorized users. This work is partially supported by the National Natural Science Foundation of China under Grant No. 60573009 and the Stadholder Foundation of Guizhou Province under Grant No. 2005(212).
Keywords:artificial intelligence  logic programs  stable model  consistency property  FC-normality
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