Generic Representation for Extension-Based Semantics of Argumentation Frameworks

Argumentation is one of the most active domains in Artificial Intelligence, especially in multi-agent systems. Since the initial work of Dung on abstract argumentation frameworks, many semantics have been proposed, but for most practical cases argument acceptability is still a matter of choice. This paper introduces a formal model that aims to provide a unifying representation of argument extensions and thus offer a means for analyzing the relations between existing semantics. First, the generic model is described, then it is used for describing the most common argumentation semantics. Conclusions are drawn from the representation.