Rationalisation of Profiles of Abstract Argumentation Frameworks

Open Access
Authors
  • J. Rossit
Publication date 2017
Host editors
  • C. Sierra
Book title Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-2017)
Book subtitle Melbourne, Australia 19-25 August 2017
ISBN (electronic)
  • 9780999241103
Event 26th International Joint Conference on Artificial Intelligence
Pages (from-to) 4776-4780
Publisher International Joint Conferences on Artificial Intelligence
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
We review a recently introduced model in which each of a number of agents is endowed with an abstract argumentation framework reflecting her individual views regarding a given set of arguments. A question arising in this context is whether the diversity of views observed in such a situation is consistent with the assumption that every individual argumentation framework is induced by a combination of, first, some basic factual information and, second, the personal preferences of the agent concerned. We treat this question of rationalisability of a profile as an algorithmic problem and identify tractable and intractable cases. This is useful for understanding what types of profiles can reasonably be expected to occur in a multiagent system.
Document type Conference contribution
Note Extended Abstract
Language English
Related publication Rationalisation of Profiles of Abstract Argumentation Frameworks
Published at https://doi.org/10.24963/ijcai.2017/665
Downloads
0665 (Final published version)
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