• DocumentCode
    296604
  • Title

    Defeasible logic graphs for decision support

  • Author

    Nute, Donald ; Erk, Katrin

  • Author_Institution
    Artificial Intelligence Centre, Georgia Univ., Athens, GA, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    3-6 Jan 1996
  • Firstpage
    11
  • Abstract
    Knowledge based systems provide decision support by applying a previously developed representation of knowledge for a particular domain. We describe a method for representing knowledge about any domain using defeasible logic graphs. Because these graphs are based on a defeasible logic of the sort described in (Nute, 1992), they can represent uncertain or incomplete knowledge. We reason about the represented domain by propagating markers in the graph to show which propositions are true, false, or unestablished. We propose to construct an argumentation based software system incorporating defeasible logic graphs. We establish the formal foundations for such a system by showing that the inference mechanism for defeasible logic graphs is sound and complete with respect to defeasible logic
  • Keywords
    decision support systems; formal logic; graph theory; knowledge based systems; knowledge representation; nonmonotonic reasoning; uncertainty handling; argumentation; decision support system; defeasible logic; defeasible logic graphs; incomplete knowledge; inference mechanism; knowledge based systems; knowledge representation; reasoning; uncertain knowledge; Artificial intelligence; Computer science; Fuzzy logic; Graphics; Inference mechanisms; Knowledge based systems; Logic design; Probabilistic logic; Software design; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1996., Proceedings of the Twenty-Ninth Hawaii International Conference on ,
  • Conference_Location
    Wailea, HI
  • Print_ISBN
    0-8186-7324-9
  • Type

    conf

  • DOI
    10.1109/HICSS.1996.495375
  • Filename
    495375