Konzeptbasierte Argumentation in dynamischen Umgebungen

Abstract

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.