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Titlebook: Answer Set Programming; Vladimir Lifschitz Textbook 2019 Springer Nature Switzerland AG 2019 Answer set.stable model.logic programming.dec

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发表于 2025-3-21 16:21:30 | 显示全部楼层 |阅读模式
期刊全称Answer Set Programming
影响因子2023Vladimir Lifschitz
视频videohttp://file.papertrans.cn/159/158159/158159.mp4
发行地址The chapters on the art of programming and on mathematical foundations include many cross-references. They help the reader appreciate the importance of clear mathematical thinking for the practice of
图书封面Titlebook: Answer Set Programming;  Vladimir Lifschitz Textbook 2019 Springer Nature Switzerland AG 2019 Answer set.stable model.logic programming.dec
影响因子Answer set programming (ASP) is a programming methodology oriented towards combinatorial search problems.  In such a problem, the goal is to find a solution among a large but finite number of possibilities. The idea of ASP came from research on artificial intelligence and computational logic. ASP is a form of declarative programming: an ASP program describes what is counted as a solution to the problem, but does not specify an algorithm for solving it.  Search is performed by sophisticated software systems called answer set solvers..Combinatorial search problems often arise in science and technology, and ASP has found applications in diverse areas—in historical linguistic, in bioinformatics, in robotics, in space exploration, in oil and gas industry, and many others.  The importance of this programming method was recognized by the Association for the Advancement of Artificial Intelligence in 2016, when .AI Magazine. published a special issue on answer set programming...The book introduces the reader to the theory and practice of ASP. It describes the input language of the answer set solver CLINGO, which was designed at the University of Potsdam in Germany and is used today by ASP p
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Conclusion,solvers use to find stable models, about what happens “under the hood.” Section . is, in fact, the only place where the operation of answer set solvers is discussed in any detail. The algorithms implemented in . are described in Chaps. . and . of the doctoral dissertation of one of its designers (Si
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978-3-030-24660-0Springer Nature Switzerland AG 2019
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https://doi.org/10.1007/978-3-663-04693-6In a combinatorial search problem, the goal is to find a solution among a finite number of candidates. The ASP approach is to encode such a problem as a logic program whose stable models correspond to solutions, and then use an answer set solver to find a stable model.
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Elektroosmotische Verschiebung,In this chapter and the next, we discuss the mathematical definition of a stable model. In the process, we introduce a few syntactic features of the input language of . that have not been mentioned earlier.
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Zielsetzung und Vorgehensweise,Our next goal is to extend the definition of a stable model from Sect. . to propositional programs that contain negation, and to apply this generalization to . programs with negation and choice. We begin with an informal discussion of a few examples.
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https://doi.org/10.1007/978-3-642-47972-4In Chap. . we saw how properties of stable models expressed by Theorem on Facts, Theorem on Irrelevant Formulas, and Theorem on Constraints can be used sometimes to calculate the stable models of a program without referring to the definition of a stable model directly. This chapter discusses other useful properties of stable models.
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