In this work, we introduce a framework where defeasible argumentation is used for reasoning about beliefs, desires and intentions. A dialectical filtering process is introduced in order to obtain a subset of the agent’s desires containing only those that are actually achievable in the current situation. In our framework, different agents types can be defined and this will affect the way in which current desires are obtained. Finally, intentions will be current desires that the agent may commit to pursue. Categories and Subject Descriptors I.2.11 [Artificial intelligence]: Multiagent systems General Terms Theory Keywords BDI architecture, Defeasible argumentation, Argumentation in agent systems
Nicolás D. Rotstein, Alejandro Javier Garc&