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Consistency Property of Finite FC-Normal Logic Programs

Consistency Property of Finite FC-Normal Logic Programs
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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. 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.
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2007年第4期554-561,共8页 计算机科学技术学报(英文版)
基金 This work is partially supported by the National Natural Science Foundation of China under Grant No.60573009 the Stadholder Foundation of Guizhou Province under Grant No.2005(212).
关键词 artificial intelligence logic programs stable model consistency property FC-normality artificial intelligence, logic programs, stable model, consistency property, FC-normality
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  • 1Zhang Mingyi,1992年

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