A Possibilistic Argumentation Decision Making Framework with Default Reasoning

  • Authors:

  • Juan Carlos Nieves;Roberto Confalonieri

  • Affiliations:

  • (Correspd.) Universitat Politècnica de Catalunya, Dept. Llenguatges i Sistemes Informàtics, Spain. jcnieves@lsi.upc.edu;Universitat Politècnica de Catalunya, Dept. Llenguatges i Sistemes Informàtics, Spain. confalonieri@lsi.upc.edu

  • Venue:
  • Fundamenta Informaticae - Latin American Workshop on Logic Languages, Algorithms and New Methods of Reasoning (LANMR)
  • Year:
  • 2011

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Abstract

In this paper, we introduce a possibilistic argumentation-based decision making framework which is able to capture uncertain information and exceptions/defaults. In particular, we define the concept of a possibilistic decision making framework which is based on a possibilistic default theory, a set of decisions and a set of prioritized goals. This set of goals captures user preferences related to the achievement of a particular state in a decision making problem. By considering the inference of the possibilistic well-founded semantics, the concept of argument with respect to a decision is defined. This argument captures the feasibility of reaching a goal by applying a decision in a given context. The inference in the argumentation decision making framework is based on basic argumentation semantics. Since some basic argumentation semantics can infer more than one possible scenario of a possibilistic decision making problem, we define some criteria for selecting potential solutions of the problem.