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Titlebook: Logic Programming and Nonmonotonic Reasoning; 7th International Co Vladimir Lifschitz,Ilkka Niemelä Conference proceedings 2004 Springer-Ve

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书目名称Logic Programming and Nonmonotonic Reasoning
副标题7th International Co
编辑Vladimir Lifschitz,Ilkka Niemelä
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Logic Programming and Nonmonotonic Reasoning; 7th International Co Vladimir Lifschitz,Ilkka Niemelä Conference proceedings 2004 Springer-Ve
出版日期Conference proceedings 2004
关键词AI logics; Erfüllbarkeitsproblem der Aussagenlogik; answer set programming; computational logics; constr
版次1
doihttps://doi.org/10.1007/b94792
isbn_softcover978-3-540-20721-4
isbn_ebook978-3-540-24609-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
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Verifying the Equivalence of Logic Programs in the Disjunctive Caseon-based method [14], which was designed for weight constraint programs supported by the . system, is generalized to the disjunctive case. Moreover, we report on our preliminary experiments with an implementation of the method, a translator called ..
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Partial Stable Models for Logic Programs with Aggregatesnterpretation of aggregate relations in three-valued logic. Any semantics in this family satisfies two important properties: (i) it extends the partial stable semantics for normal logic programs and (ii) total stable models are always minimal. We also give a specific instance of the semantics and show that it has several attractive features.
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978-3-540-20721-4Springer-Verlag Berlin Heidelberg 2004
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Logic Programming and Nonmonotonic Reasoning978-3-540-24609-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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0302-9743 Overview: 978-3-540-20721-4978-3-540-24609-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Probabilistic Reasoning With Answer SetsWe give a logic programming based account of probability and describe a declarative language P-log capable of reasoning which combines both logical and probabilistic arguments. Several non-trivial examples illustrate the use of P-log for knowledge representation.
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