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Characterization of argumentation semantics in terms of the MM$^r$ semantics. (English)
Batyrshin, Ildar (ed.) et al., Advances in artificial intelligence. 10th Mexican international conference on artificial intelligence, MICAI 2011, Puebla, Mexico, November 26‒December 4, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-25323-2/pbk). Lecture Notes in Computer Science 7094. Lecture Notes in Artificial Intelligence, 16-27 (2011).
Summary: Argumentation theory studies the fundamental mechanism humans use in argumentation and explores ways to implement this mechanism on computers. Dung’s approach, presented in [9], is a unifying framework which has played an influential role on argumentation research. In this paper, we show that, a logic programming semantics, called MM$^r$, can be used to characterize the preferred argumentation semantics defined by Dung in [9]. The MM$^r$ [12] is based on the the minimal model semantics. The characterization of this argumentation semantics by the MM$^r$ semantics suggests a new perception of this argumentation semantics in terms of logic foundations.
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