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ECAI 2016

Computing Extensions' Probabilities in Probabilistic Abstract Argumentation: Beyond Independence

Conference Paper Accepted Paper Artificial Intelligence

Abstract

We characterize the complexity of the problem of computing the probabilities of the extensions in probabilistic abstract argumentation. We consider all the most popular semantics of extensions (admissible, stable, preferred, complete, grounded, ideal-set, ideal and semi-stable) and different forms of correlations that can be defined between arguments and defeats. We show that the complexity of the problem ranges from FP to FP#P-complete, with FP||NP-complete cases, depending on the semantics of the extensions and the imposed correlations.

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Context

Venue
European Conference on Artificial Intelligence
Archive span
1982-2025
Indexed papers
5223
Paper id
756282887332348153
v2026.09.13