Affiliations: Universitat Politècnica de Catalunya, Dept. Llenguatges i Sistemes Informàtics, Spain. [email protected] | Universitat Politècnica de Catalunya, Dept. Llenguatges i Sistemes Informàtics, Spain. [email protected]
Note: [] Address for correspondence: Universitat Politècnica de Catalunya, Dept. Llenguatges i Sistemes Informàtics, Edifici K2M, Despatx 201, C/ Jordi Girona Salgado 1-3, E - 08034 Barcelona, Spain
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.
Keywords: Argumentation Theory, Well-Founded Semantics, Decision Making
