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Rejection in Abstract Argumentation: Harder Than Acceptance?
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8681-7470
Massachusetts Institute of Technology.ORCID iD: 0000-0003-0131-6771
Paderborn University.
Leibniz Universität Hannover.
2024 (English)In: Proceedings of the 27th European Conference on Artificial Intelligence (ECAI'24), 2024Conference paper, Published paper (Refereed)
Abstract [en]

Abstract argumentation is a popular toolkit for modeling, evaluating, and comparing arguments. Relationships between arguments are specified in argumentation frameworks (AFs), and conditions are placed on sets (extensions) of arguments that allow AFs to be evaluated. For more expressiveness, AFs are augmented with acceptance conditions on directly interacting arguments or a constraint on the admissible sets of arguments, resulting in dialectic frameworks or constrained argumentation frameworks. In this paper, we consider flexible conditions for rejecting an argument from an extension, which we call rejection conditions (RCs). On the technical level, we associate each argument with a specific logic program. We analyze the resulting complexity, including the structural parameter treewidth. Rejection AFs are highly expressive, giving rise to natural problems on higher levels of the polynomial hierarchy. 

Place, publisher, year, edition, pages
2024.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-206788OAI: oai:DiVA.org:liu-206788DiVA, id: diva2:1891261
Conference
ECAI'24
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsAvailable from: 2024-08-21 Created: 2024-08-21 Last updated: 2024-09-05

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Fichte, Johannes Klaus

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