Ranking Extensions in Abstract Argumentation

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.

Cite

Text

Skiba et al. "Ranking Extensions in Abstract Argumentation." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/282

Markdown

[Skiba et al. "Ranking Extensions in Abstract Argumentation." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/skiba2021ijcai-ranking/) doi:10.24963/IJCAI.2021/282

BibTeX

@inproceedings{skiba2021ijcai-ranking,
  title     = {{Ranking Extensions in Abstract Argumentation}},
  author    = {Skiba, Kenneth and Rienstra, Tjitze and Thimm, Matthias and Heyninck, Jesse and Kern-Isberner, Gabriele},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {2047-2053},
  doi       = {10.24963/IJCAI.2021/282},
  url       = {https://mlanthology.org/ijcai/2021/skiba2021ijcai-ranking/}
}