Inverse Problems for Gradual Semantics - Université d'Artois
Communication Dans Un Congrès Année : 2022

Inverse Problems for Gradual Semantics

Résumé

Gradual semantics with abstract argumentation provide each argument with a score reflecting its acceptability. Many different gradual semantics have been proposed in the literature, each following different principles and producing different argument rankings. A sub-class of such semantics, the so-called weighted semantics, takes, in addition to the graph structure, an initial set of weights over the arguments as input, with these weights affecting the resultant argument ranking. In this work, we consider the inverse problem over such weighted semantics. That is, given an argumentation framework and a desired argument ranking, we ask whether there exist initial weights such that a particular semantics produces the given ranking. The contribution of this paper are: (1) an algorithm to answer this problem, (2) a characterisation of the properties that a gradual semantics must satisfy for the algorithm to operate, and (3) an empirical evaluation of the proposed algorithm.
Fichier principal
Vignette du fichier
Inverse_Problems_for_Gradual_Semantics-4.pdf (304.88 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03768129 , version 1 (02-09-2022)

Identifiants

Citer

Nir Oren, Bruno Yun, Srdjan Vesic, Murilo Baptista. Inverse Problems for Gradual Semantics. Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}, Jul 2022, Vienna, Austria. pp.2719-2725, ⟨10.24963/ijcai.2022/377⟩. ⟨hal-03768129⟩
75 Consultations
124 Téléchargements

Altmetric

Partager

More