A two-phase dialogue game for skeptical preferred semantics

Zohreh Shams, Nir Oren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose a labelling based dialogue game for determining whether a single argument within a Dung argumentation framework is skeptically preferred. Our game consists of two phases, and determines the membership of a single argument within the extension, assuming optimal play by dialogue participants. In the first phase, one player attempts to advance arguments to construct an extension not containing the argument under consideration, while the second phase verifies that the extension is indeed a preferred one. Correctness within this basic game requires perfect play by both players, and we therefore also introduce an overarching game to overcome this limitation.

Original languageEnglish
Title of host publicationLogics in Artificial Intelligence - 15th European Conference, JELIA 2016, Proceedings
PublisherSpringer Verlag
Pages570-576
Number of pages7
ISBN (Print)9783319487571
DOIs
Publication statusPublished - 2016
Event15th European Conference on Logics in Artificial Intelligence, JELIA 2016 - Larnaca, Cyprus
Duration: 9 Nov 201611 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10021

Conference

Conference15th European Conference on Logics in Artificial Intelligence, JELIA 2016
CountryCyprus
CityLarnaca
Period9/11/1611/11/16

Fingerprint Dive into the research topics of 'A two-phase dialogue game for skeptical preferred semantics'. Together they form a unique fingerprint.

  • Cite this

    Shams, Z., & Oren, N. (2016). A two-phase dialogue game for skeptical preferred semantics. In Logics in Artificial Intelligence - 15th European Conference, JELIA 2016, Proceedings (pp. 570-576). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10021 ). Springer Verlag. https://doi.org/10.1007/978-3-319-48758-8_41