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Representing and comparing large sets of extensions of abstract argumentation frameworks

Published: 08 April 2019 Publication History

Abstract

In argumentation theory, some reasoning problems involve the enumeration of all extensions of an abstract argumentation framework. Abstractly speaking, extensions are simply subsets of a given domain having some special properties. The result of the enumeration is usually presented as a single text file with elements and sets separated by designated delimiters. Neither the elements within each set (a single extension), nor the extensions themselves are presented in any pre-defined order. Events such as the International Competition of Computational Models of Argumentation require the comparison of a large number of enumerations and thus performing the comparisons very efficiently has become very desirable. This paper presents and compares three different alternative representations of extensions, one of which is novel for the argumentation domain, and provides an empirical evaluation of their effectiveness in the comparison of large enumerations. We found that the newly proposed representation can perform the comparisons in a much more memory and time efficient manner than existing solutions.

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Cited By

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  • (2023)Representing and Manipulating Large Sequences of Argumentation LabellingsProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing10.1145/3555776.3577756(995-1002)Online publication date: 27-Mar-2023
  • (2022)Reasoning and interaction for social artificial intelligenceAI Communications10.3233/AIC-22013335:4(309-325)Online publication date: 1-Jan-2022

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  1. Representing and comparing large sets of extensions of abstract argumentation frameworks

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    cover image ACM Conferences
    SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
    April 2019
    2682 pages
    ISBN:9781450359337
    DOI:10.1145/3297280
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 08 April 2019

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    Author Tags

    1. abstract argumentation frameworks
    2. computation of semantics
    3. verification of extensions

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    • (2023)Representing and Manipulating Large Sequences of Argumentation LabellingsProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing10.1145/3555776.3577756(995-1002)Online publication date: 27-Mar-2023
    • (2022)Reasoning and interaction for social artificial intelligenceAI Communications10.3233/AIC-22013335:4(309-325)Online publication date: 1-Jan-2022

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