• Title of article

    Reasoning about preferences in argumentation frameworks Original Research Article

  • Author/Authors

    Sanjay Modgil، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    34
  • From page
    901
  • To page
    934
  • Abstract
    The abstract nature of Dungʹs seminal theory of argumentation accounts for its widespread application as a general framework for various species of non-monotonic reasoning, and, more generally, reasoning in the presence of conflict. A Dung argumentation framework is instantiated by arguments and a binary conflict based attack relation, defined by some underlying logical theory. The justified arguments under different extensional semantics are then evaluated, and the claims of these arguments define the inferences of the underlying theory. To determine a unique set of justified arguments often requires a preference relation on arguments to determine the success of attacks between arguments. However, preference information is often itself defeasible, conflicting and so subject to argumentation. Hence, in this paper we extend Dungʹs theory to accommodate arguments that claim preferences between other arguments, thus incorporating meta-level argumentation based reasoning about preferences in the object level. We then define and study application of the full range of Dungʹs extensional semantics to the extended framework, and study special classes of the extended framework. The extended theory preserves the abstract nature of Dungʹs approach, thus aiming at a general framework for non-monotonic formalisms that accommodate defeasible reasoning about as well as with preference information. We illustrate by formalising argument based logic programming with defeasible priorities in the extended theory.
  • Keywords
    Dung , Preferences , Logic programming , Non-monotonic reasoning , argumentation
  • Journal title
    Artificial Intelligence
  • Serial Year
    2009
  • Journal title
    Artificial Intelligence
  • Record number

    1207691