Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks - Université Toulouse III - Paul Sabatier - Toulouse INP Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks

Résumé

We introduce a multi-agent, dynamic extension of abstract argumentation frameworks (AFs), strongly inspired by epistemic logic, where agents have only partial information about the conflicts between arguments. These frameworks can be used to model a variety of situations. For instance, those in which agents have bounded logical resources and therefore fail to spot some of the actual attacks, or those where some arguments are not explicitly and fully stated (enthymematic argumentation). Moreover, we include second-order knowledge and common knowledge of the attack relation in our structures (where the latter accounts for the state of the debate), so as to reason about different kinds of persuasion and about strategic features. This version of multi-agent AFs, as well as their updates with public announcements of attacks (more concretely, the effects of these updates on the acceptability of an argument) can be described using S5-PAL, a well-known dynamic-epistemic logic. We also discuss how to extend our proposal to capture arbitrary higher-order attitudes and uncertainty.
Fichier principal
Vignette du fichier
0265.pdf (194.96 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03450068 , version 1 (25-11-2021)

Identifiants

Citer

Andreas Herzig, Antonio Yuste Ginel. Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks. Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), Aug 2021, Montreal, Canada. pp.1922-1928, ⟨10.24963/ijcai.2021/265⟩. ⟨hal-03450068⟩
89 Consultations
61 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More