Konzeptbasierte Argumentation in dynamischen Umgebungen

Argumentation systems play an important role when controversial points of views are to be considered in order to make decisions on inconsistent data. In this work a scalable framework for argumentation and decision support is outlined. This framework defines basic arguments and conflicts which refer to conceptual descriptions of the given state of affairs. Based on their meaning and preference relations that adopt specific viewpoints, it is possible to determine efficiently successful explanations depending on these viewpoints. We investigate our approach by examining soccer games, since many observed spatiotemporal behaviours in soccer can be interpreted differently

Personality-based practical reasoning

Abstract. In virtual training scenarios, agent technology can be used to build a virtual tutor that assists a student during training. In a dialogue using argumentation schemes, the virtual tutor provides reasons to the students to explain why a particular action is the most sensible. The tutor determines the best action using practical reasoning. The justification of this action is selected based on the personality type of the student. This paper studies how agent technology could be used to make a virtual tutor that assists the student during the training. In particular, we study how the tutor can generate persuasive arguments for what the student should do.