An approach to Decision Making based on Dynamic Argumentation Systems

EDGARDO FERRETTI; LUCIANO H. TAMARGO; ALEJANDRO JAVIER GARCIA; MARCELO ERRECALDE; GUILLERMO R. SIMARI

ARTIFICIAL INTELLIGENCE

ELSEVIER SCIENCE BV

Lugar: Amsterdam; Año: 2017 vol. 242 p. 107 - 131

0004-3702

In this paper we introduce a formalism for single-agent decision making that is based on Dynamic Argumentation Frameworks. The formalism can be used to justify a choice, which is based on the current situation the agent is involved. Taking advantage of the inference mechanism of the argumentation formalism, it is possible to consider preference relations, and conflicts among the available alternatives for that reasoning. With this formalization, given a particular set of evidence, the justified conclusions supported by warranted arguments will be used by the agent?s decision rules to determine which alternatives will beselected. We also present an algorithm that implements a choice function based on our formalization. Finally, we complete our presentation by introducing formal results that relate the proposed framework with approaches of classical decision theory.