Stratified extended multi-adjoint logic programming

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
M. Eugenia Cornejo, David Lobo, Jesús Medina
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引用次数: 0

Abstract

Extended multi-adjoint logic programming is a non-monotonic logic programming framework whose semantics is defined in terms of stable models. This paper will focus on the theoretical development of a syntactical sufficient condition for the existence and uniqueness of stable models in extended multi-adjoint logic programming, through the notion of stratification. Namely, we will detail a constructive method for the computation of the unique stable model of a given stratified extended multi-adjoint logic program. As a consequence, this study will be an interesting alternative to the semantical sufficient conditions for the existence and the uniqueness of stable models, given in the literature for multi-adjoint normal logic and extended multi-adjoint logic programs.

分层扩展多关节逻辑编程
扩展多关节逻辑编程是一种非单调逻辑编程框架,其语义是根据稳定模型定义的。本文将通过分层概念,重点从理论上发展扩展多关节逻辑编程中稳定模型存在性和唯一性的句法充分条件。也就是说,我们将详细介绍计算给定分层扩展多关节逻辑程序唯一稳定模型的构造方法。因此,这项研究将成为文献中给出的多关节正常逻辑和扩展多关节逻辑程序中稳定模型存在性和唯一性的语义充分条件的一个有趣替代。
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来源期刊
Fuzzy Sets and Systems
Fuzzy Sets and Systems 数学-计算机:理论方法
CiteScore
6.50
自引率
17.90%
发文量
321
审稿时长
6.1 months
期刊介绍: Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.
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