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Titlebook: Logics in Artificial Intelligence; 10th European Confer Michael Fisher,Wiebe Hoek,Alexei Lisitsa Conference proceedings 2006 Springer-Verla

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發(fā)表于 2025-3-21 18:06:59 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Logics in Artificial Intelligence
副標題10th European Confer
編輯Michael Fisher,Wiebe Hoek,Alexei Lisitsa
視頻videohttp://file.papertrans.cn/589/588194/588194.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Logics in Artificial Intelligence; 10th European Confer Michael Fisher,Wiebe Hoek,Alexei Lisitsa Conference proceedings 2006 Springer-Verla
出版日期Conference proceedings 2006
關鍵詞Artificial intelligence; Automat; automated reasoning; description logics; intelligence; learning; logic; m
版次1
doihttps://doi.org/10.1007/11853886
isbn_softcover978-3-540-39625-3
isbn_ebook978-3-540-39627-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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沙發(fā)
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板凳
發(fā)表于 2025-3-22 03:22:52 | 只看該作者
Modal Logics of Negotiation and Preferencee problem of identifying conditions on preference relations that would guarantee convergence for a restricted class of deals under all circumstances can be cast as a question in modal logic correspondence theory.
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Inconsistencies in Ontologiesed SUMO and the terrorism ontology. Based on the analysis of inconsistencies found in these ontologies we analyse the quality of information in them. Our research reveals interesting problems in studying the evolution and the quality of formal knowledge.
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發(fā)表于 2025-3-22 19:31:27 | 只看該作者
Model Representation over Finite and Infinite SignaturesMoreover we show that, similarly to the case for infinite signatures, contexts and DIGs allow one to represent the same classes of models also over finite signatures; however DIGs may be exponentially more succinct than all equivalent contexts.
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發(fā)表于 2025-3-22 23:48:10 | 只看該作者
From Inductive Logic Programming to Relational Data Miningle range of data analysis tasks (classification, regression, clustering, association analysis). ILP algorithms can this be used to find patterns in relational data, i.e., for relational data mining (RDM). This paper briefly introduces the basic concepts of ILP and RDM and discusses some recent research trends in these areas.
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發(fā)表于 2025-3-23 03:39:47 | 只看該作者
On Arbitrary Selection Strategies for Basic Superpositionin [BG 01]. We answer their question about the completeness of a superposition-based system for general clauses with an arbitrary selection strategy, provided there exists a refutation without applications of the factoring inference rule.
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