Abstract. One of the most difficult problems in multiagent systems involves representing knowledge and beliefs of agents in dynamic environments. New perceptions modify an agent’...
Until now, AI argumentation-based systems have been mainly developed for handling inconsistency. In that explanation-oriented perspective, only one type of argument has been consi...
Norms represent what ought to be done, and their fulfillment can be seen as benefiting the overall system, society or organisation. However, individual agent goals (desire) may con...
Recent years have seen an increasing interest of multiagent system research in employing the theory of argumentation for the development of communication protocols. While signific...
Michael Rovatsos, Iyad Rahwan, Felix A. Fischer, G...
Abstract. The identification of consistent sets of arguments is one of the most important concerns in the development of computational models of argument. Such extensions drive the...