Empirical Argumentation: Integrating Induction and Argumentation in MAS

Abstract. This paper presents an approach that integrates notions and techniques from two distinct fields of study —namely inductive learning and argumentation in multiagent systems (MAS). We will first discuss inductive learning and the role argumentation may play in multiagent inductive learning, and then how inductive learning can be used to re-alize an argumentation in MAS based on empirical grounds. We present a MAS framework for empirical argumentation and then we show how this is applied to a particular task where two agents argue in order to reach agreement on a particular topic. Finally, an experimental evalua-tion of the approach is presented evaluating the quality of the agreements achieved by argumentation