Download e-book for kindle: Computational Logic in Multi-Agent Systems: 14th by Elena Cabrio, Sara Tonelli, Serena Villata (auth.), João

By Elena Cabrio, Sara Tonelli, Serena Villata (auth.), João Leite, Tran Cao Son, Paolo Torroni, Leon van der Torre, Stefan Woltran (eds.)

ISBN-10: 3642406238

ISBN-13: 9783642406232

ISBN-10: 3642406246

ISBN-13: 9783642406249

This e-book constitutes the lawsuits of the 14th overseas Workshop on Computational common sense in Multi-Agent structures, CLIMA XIV, held in Corunna, Spain, in September 2013. The 23 commonplace papers have been rigorously reviewed and chosen from forty four submissions and offered with 4 invited talks. the aim of the CLIMA workshops is to supply a discussion board for discussing strategies, in line with computational common sense, for representing, programming and reasoning approximately brokers and multi-agent structures in a proper manner. This variation will function specific periods: Argumentation applied sciences and Norms and Normative Multi-Agent Systems.

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Additional info for Computational Logic in Multi-Agent Systems: 14th International Workshop, CLIMA XIV, Corunna, Spain, September 16-18, 2013. Proceedings

Example text

Restatement Generaliz. Concession Expectation (‘although’, ‘though’, ‘while’) 386 31 ContraExpectation (‘but’, ‘still’, ‘however’) 798 182 Notice that we do not tackle the issue of dealing with enthymemes and implied assertions. Whilst human annotators can deal with this problem to an acceptable extent, identifying suitable markers to indicate the occurrence of such instances is a problem. Similar issues are reported in those works in which natural language texts are analyzed to produce instantiations of an argumentation scheme for an e-Participation tool.

IEEE Computer Society (1998) 29. : Araucaria: Software for argument analysis, diagramming and representation. International Journal on Artificial Intelligence Tools 13(4), 983–1003 (2004) 30. : Applications of argumentation schemes. In: Procs. of OSSA 2001 (2001) 31. 0. Annotation Manual. Tech. Rep. IRCS-08-01, Institute for Research in Cognitive Science, University of Pennsylvania (2008) 32. : The Uses of Argument. Cambridge University Press (1958) 33. : Argumentation Schemes. Cambridge University Press (2008) 34.

F ≡st,MC G. t. stable semantics iff i) A(F ) = A(G) and Est (F ) = Est (G) or ii) Est (F ) = Est (G) = ∅ [10, Proposition 3]. The second conditions holds for the considered AFs. t. weak expansions since they do not share the same arguments. 2 Preferred Semantics: The Full Picture How does the equivalence zoo look if we turn to the more relaxed notion of preferred semantics? To answer this question we first prove a characterization theorem for preferred semantics in case of weak expansions. It turns out that two AFs are weak expansion equivalent iff they share the same arguments, possess the same preferred extensions and furthermore, for any extension E the set of arguments which are not in the extension without being refuted has to coincide in both AFs.

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Computational Logic in Multi-Agent Systems: 14th International Workshop, CLIMA XIV, Corunna, Spain, September 16-18, 2013. Proceedings by Elena Cabrio, Sara Tonelli, Serena Villata (auth.), João Leite, Tran Cao Son, Paolo Torroni, Leon van der Torre, Stefan Woltran (eds.)


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