Defeasible Argumentation Support for an Extended BDI Architecture.

NICOLÁS D. ROTSTEIN; ALEJANDRO J. GARCÍA; GUILLERMO R. SIMARI

Workshop; Argumentation in Multi-Agent Systems 4th International Workshop, ArgMAS 2007; 2007

 In this work, an agent architecture that combines defeasible argumen-tation and the BDI model is described. Argumentation will be used as a mech-anism for reasoning about beliefs, for filtering desires considering the agent?scurrent environment, and for selecting proper intentions. The approach allows todefinedifferenttypesofagentsandthiswillaffectthewayinwhichdesiresarefil-tered and hence, which intention is selected. For performing defeasible reasoning,the approach uses a concrete framework based on a working defeasible argumen-tation system: Defeasible Logic Programming (DeLP). A set of filtering rules,represented as a defeasible logic program, will be used to represent reasons forand against adopting desires. Thus, based on its perceived or derived beliefs, theagent will argue about which of its desires are achievable in the current situation.To clarify the ideas two applications will be introduced to show two significantlydifferent types of agent that can be implemented using this approach.