Ranking-based semantics for argumentation frameworks

Leila Amgoud (1, 2) , Jonathan Ben-Naim (3, 2)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 CNRS - Centre National de la Recherche Scientifique
3 IRIT-LILaC - Logique, Interaction, Langue et Calcul

An argumentation system consists of a set of interacting arguments and a semantics for evaluating them. This paper proposes a new family of semantics which rank-orders arguments from the most acceptable to the weakest one(s). The new semantics enjoy two other main features: i) an attack weakens its target but does not kill it, ii) the number of attackers has a great impact on the acceptability of an argument.We start by proposing a set of rational postulates that such semantics could satisfy, then construct various semantics that enjoy them.

Mots clés: Information storage and retrieval

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Leila Amgoud, Jonathan Ben-Naim. Ranking-based semantics for argumentation frameworks. 7th International Conference on Scalable Uncertainty Management (SUM 2013), Sep 2013, Washington, DC, United States. pp.134-147. ⟨hal-01239719⟩