• DocumentCode
    1906433
  • Title

    Computing the Extensions of an Argumentation Framework Based on Its Strongly Connected Components

  • Author

    Beishui Liao ; Huaxin Huang

  • Author_Institution
    Zhejiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2012
  • fDate
    7-9 Nov. 2012
  • Firstpage
    1047
  • Lastpage
    1052
  • Abstract
    Currently, only some argumentation frameworks (AFs) with special topologies have been identified as tractable classes. By taking advantage of the tractability of some parts of a general AF, this paper proposes a method to compute the extensions of an AF based on its strongly connected components (SCCs). In this method, an AF is partitioned into a set of sub frameworks (by a linear time algorithm) according to its SCCs. Under an argumentation semantics that satisfies the criterion of directionality, sets of extensions of all sub-frameworks can be computed locally, and combined incrementally to form the extensions of the original AF. The analysis shows that by using this method the complexity of computing the extensions of an AF may be reduced to a greater or a lesser extent, depending on the size and the topology of a dominant sub-framework of the AF, as well as the number of extensions of the AF.
  • Keywords
    artificial intelligence; computational complexity; argumentation framework; computational complexity; linear time algorithm; special topologies; strongly connected components; Artificial intelligence; Graph theory; Partitioning algorithms; Semantics; Time complexity; Topology; abstract argumentation framework; argumentation semantics; computational complexity; local tractability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
  • Conference_Location
    Athens
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-0227-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2012.147
  • Filename
    6495164