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Titlebook: Logics in Artificial Intelligence; 16th European Confer Francesco Calimeri,Nicola Leone,Marco Manna Conference proceedings 2019 Springer Na

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书目名称Logics in Artificial Intelligence
副标题16th European Confer
编辑Francesco Calimeri,Nicola Leone,Marco Manna
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Logics in Artificial Intelligence; 16th European Confer Francesco Calimeri,Nicola Leone,Marco Manna Conference proceedings 2019 Springer Na
描述.This book constitutes the proceedings of the 16th European Conference on Logics in Artificial Intelligence, JELIA 2019, held in Rende, Italy, in May 2019. The 50 full papers and 10 short papers included in this volume were carefully reviewed and selected from 101 submissions. Additionally, the book contains 3 invited papers. The accepted papers span a number of areas within Logics in AI, including: belief revision and argumentation; causal, defeasible and inductive reasoning; conditional, probabilistic and propositional logic; description logics; logic programming; modal and default logic; and temporal logic..
出版日期Conference proceedings 2019
关键词argumentation; artificial intelligence; belief revision; causal reasoning; conditional logic; default log
版次1
doihttps://doi.org/10.1007/978-3-030-19570-0
isbn_softcover978-3-030-19569-4
isbn_ebook978-3-030-19570-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Vadalog: Recent Advances and Applicationsvances and applications, with a focus on the Vadalog language itself. We first give an easy-to-access self-contained introduction to Warded Datalog+/−, the logical core of Vadalog. We then discuss some recent advances: Datalog rewritability of Warded Datalog+/−, and the piece-wise linear fragment of
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A Possible World View and a Normal Form for the Constellation Semanticsbe more complex or real life situations. Several of these approaches take the direction of weighted or probabilistic extensions. One of the most prominent probabilistic approaches is that of constellation Probabilistic Abstract Argumentation Frameworks..In this paper, we introduce the probabilistic
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Well-Foundedness in Weighted Argumentation Frameworksinally provided by P. M. Dung in his pioneering work. We generalise it by considering sequences of . sets, instead of a plain sequence of arguments: such sets include all the arguments attacking a previous set in the sequence. By using a parametric framework based on an algebraic structure, we are a
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Preprocessing Argumentation Frameworks via Replacement Patternsng argumentation. In particular, numerous systems for abstract argumentation frameworks (AF solvers) are available today, covering several argumentation semantics and reasoning tasks. Instead of proposing another algorithmic approach for AF solving, we introduce in this paper distinct AF preprocessi
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