Viewpoints using ranking-based argumentation semantics

Bruno Yun (1) , Srdjan Vesic (2) , Madalina Croitoru (1) , Pierre Bisquert (3)

1 GRAPHIK - Graphs for Inferences on Knowledge
2 CRIL - Centre de Recherche en Informatique de Lens
3 UMR IATE - Ingénierie des Agro-polymères et Technologies Émergentes

To address the needs of the EU NoAW project, in this paper we introduce a new modular framework that generates viewpoints (i.e. extensions) based on ranking argumentation semantics by considering a selection function, a ranking on arguments and a lifting function as its input parameters. We study the different combinations of the input parameters and introduce a set of postulates investigated for the framework's different classes of output.

Domaines: Intelligence artificielle [cs.AI]

Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert. Viewpoints using ranking-based argumentation semantics. COMMA 2018 - 7th International Conference on Computational Models of Argument, Sep 2018, Varsovie, Poland. pp.381-392, ⟨10.3233/978-1-61499-906-5-381⟩. ⟨lirmm-01892709⟩