Skip to Main content Skip to Navigation
Conference papers

Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks

Abstract : 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.
Complete list of metadata

https://hal-univ-tlse3.archives-ouvertes.fr/hal-03450068
Contributor : Andreas Herzig Connect in order to contact the contributor
Submitted on : Thursday, November 25, 2021 - 6:25:28 PM
Last modification on : Monday, November 29, 2021 - 2:57:23 PM

File

0265.pdf
Files produced by the author(s)

Identifiers

Citation

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⟩

Share

Metrics

Les métriques sont temporairement indisponibles