ABA: Argumentation Based Agents

Abstract. Many works have identified the potential benefits of using argumentation to address a large variety of multiagent problems. In this paper we take this idea one step further and develop the concept of a fully integrated argumentation-based agent architecture that allows us to develop agents that are coherently designed on an underlying argumentation based foundation. Under this architecture, an agent is composed of a collection of modules each of which is equipped with a local argumentation theory. Similarly, the intra-agent control of the agent is governed by local argumentation theories that are sensitive to the current situation of the agent through dynamically enabled feasibility arguments.

• Type: Conference
• Year: 2010
• Where: ECAI
• Authors: Antonis C. Kakas, Leila Amgoud, Gabriele Kern-Isberner, Nicolas Maudet, Pavlos Moraitis
• Keywords: Argumentation, Argumentation Based Foundation, Artificial Intelligence, ECAI 2010, Local Argumentation