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

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發(fā)表于 2025-3-21 17:15:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Logic Programming and Nonmonotonic Reasoning
副標(biāo)題7th International Co
編輯Vladimir Lifschitz,Ilkka Niemel?
視頻videohttp://file.papertrans.cn/588/587912/587912.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Logic Programming and Nonmonotonic Reasoning; 7th International Co Vladimir Lifschitz,Ilkka Niemel? Conference proceedings 2004 Springer-Ve
出版日期Conference proceedings 2004
關(guān)鍵詞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
The information of publication is updating

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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 ..
地板
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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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發(fā)表于 2025-3-22 21:15:28 | 只看該作者
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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