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Titlebook: Logic Programming and Nonmonotonic Reasoning; 8th International Co Chitta Baral,Gianluigi Greco,Giorgio Terracina Conference proceedings 20

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书目名称Logic Programming and Nonmonotonic Reasoning
副标题8th International Co
编辑Chitta Baral,Gianluigi Greco,Giorgio Terracina
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Logic Programming and Nonmonotonic Reasoning; 8th International Co Chitta Baral,Gianluigi Greco,Giorgio Terracina Conference proceedings 20
出版日期Conference proceedings 2005
关键词Extension; algorithms; complexity; heuristics; knowledge; logic; nonmonotonic reasoning; programming; softwa
版次1
doihttps://doi.org/10.1007/11546207
isbn_softcover978-3-540-28538-0
isbn_ebook978-3-540-31827-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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External Sources of Computation for Answer Set Solversms for evaluating Answer Set Programs with external predicates. The framework paves the way to Answer Set Programming in several directions such as pattern manipulation applications, as well as the possibility to exploit function symbols. . has been successfully implemented in the . system, which is now enabled to make external program calls.
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An ID-Logic Formalization of the Composition of Autonomous Databasesvides a straightforward way of dealing with inconsistent data. Moreover, this framework facilitates the implementation of database repair and consistent query answering by means of a variety of reasoning systems.
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Answer Sets for Propositional Theories propose, in particular, a semantics for weight constraints that covers the problematic case of negative weights. Our semantics of aggregates is an extension of the approach due to Faber, Leone, and Pfeifer to a language with choice rules and, more generally, arbitrary rules with nested expressions.
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On the Local Closed-World Assumption of Data-Sourcesder theory that can be processed by an independent reasoning system (for example a .). We consider different ways of representing our approach, relate it to other methods of representing local closed-word assumptions of data-sources, and show some useful properties of our framework which facilitate its application in real-life systems.
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Computing Dialectical Trees Efficiently in Possibilistic Defeasible Logic Programmingntroduce definitions which allow to characterize dialectical trees constructively rather than declaratively, identifying relevant features for pruning the associated search space. The resulting approach can be easily generalized to be applied in other argumentation frameworks based in logic programming.
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