Complete Assumption Labellings
Cláudia Schulz, Francesca Toni · Frontiers in artificial intelligence and applications · 2014
Recently, argument labellings have been proposed as a new (equivalent) way to express the extension semantics of Abstract Argumentation (AA) frame-works. Here, we introduce a labelling approach for the complete semantics in Assumption-Based Argumentation (ABA), where labels are assigned to assumptions rather than whole arguments. We prove that the complete assumption labelling corresponds to the complete extension semantics in ABA, as well as to the complete extension semantics and the complete argument labelling in AA.