Breaking the Cycle Preference-based Aggregation for Cyclic Argumentation Frameworks

Open Access
Authors
  • M.A. Müller
  • B. Istenič-Urh
  • T.-Ş. Zotescu
  • U. Endriss ORCID logo
Publication date 2024
Host editors
  • C. Reed
  • M. Thimm
  • T. Rienstra
Book title Computational Models of Argument
Book subtitle Proceedings of COMMA 2024
ISBN
  • 9781643685342
ISBN (electronic)
  • 9781643685359
Series Frontiers in Artificial Intelligence and Applications
Event 2024 International Conference on Computational Models of Argument, COMMA 2024
Pages (from-to) 157-168
Publisher Amsterdam: IOS Press
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
We consider scenarios where a group of agents wish to simplify a given abstract argumentation framework—specifying a set of arguments and the attacks between them—by eliminating cycles in the attack-relation on the basis of their preferences over arguments. They do so by first aggregating their individual preferences into a collective preference order and then removing any attacks involved in a cycle that go against that order. Our analysis integrates insights from formal argumentation and social choice theory. We obtain sweeping impossibility results for essentially all standard methods of preference aggregation, showing that no Condorcet method and no positional scoring rule can uphold the fundamental principle expressing that views held by every single member of the group must be respected. But we also find that so-called representative-agent rules do offer this guarantee.
Document type Conference contribution
Language English
Published at https://doi.org/10.3233/FAIA240318
Downloads
FAIA-388-FAIA240318 (Final published version)
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