Ranking Extensions in Abstract Argumentation

Skiba, Kenneth; Rienstra, Tjitze; Thimm, Matthias; Heyninck, Jesse; Kern-Isberner, Gabriele

doi:10.24963/ijcai.2021/282

Ranking Extensions in Abstract Argumentation

Kenneth Skiba, Tjitze Rienstra, Matthias Thimm, Jesse Heyninck, Gabriele Kern-Isberner

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 2047-2053.

https://doi.org/10.24963/ijcai.2021/282

Keywords

Knowledge Representation and Reasoning: Computational Models of Argument

Abstract

Extension-based semantics in abstract argumentation provide a criterion to determine whether a set of arguments is acceptable or not. In this paper, we present the notion of extension-ranking semantics, which determines a preordering over sets of arguments, where one set is deemed more plausible than another if it is somehow more acceptable. We obtain extension-based semantics as a special case of this new approach, but it also allows us to make more fine-grained distinctions, such as one set being "more complete'' or "more admissible'' than another. We define a number of general principles to classify extension-ranking semantics and develop concrete approaches. We also study the relation between extension-ranking semantics and argument-ranking based semantics, which rank individual arguments instead of sets of arguments.

Kenneth Skiba, Tjitze Rienstra, Matthias Thimm, Jesse Heyninck, and Gabriele Kern-Isberner. 2021. Ranking Extensions in Abstract Argumentation. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 2047–2053. https://doi.org/10.24963/ijcai.2021/282

@inproceedings{ijcai2021p282,
  title     = {Ranking Extensions in Abstract Argumentation},
  author    = {Skiba, Kenneth and Rienstra, Tjitze and Thimm, Matthias and Heyninck, Jesse and Kern-Isberner, Gabriele},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {2047--2053},
  year      = {2021},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2021/282},
  url       = {https://doi.org/10.24963/ijcai.2021/282},
}

TY  - CPAPER
TI  - Ranking Extensions in Abstract Argumentation
AU  - Skiba, Kenneth
AU  - Rienstra, Tjitze
AU  - Thimm, Matthias
AU  - Heyninck, Jesse
AU  - Kern-Isberner, Gabriele
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 2047
EP  - 2053
DO  - 10.24963/ijcai.2021/282
UR  - https://doi.org/10.24963/ijcai.2021/282
ER  -