IJCAI 2023poster8 citations

Ranking-based Argumentation Semantics Applied to Logical Argumentation

Jesse Heyninck, Badran Raddaoui, Christian Straßer

Abstract

In formal argumentation, a distinction can be made between extension-based semantics, where sets of arguments are either (jointly) accepted or not, and ranking-based semantics, where grades of accept- ability are assigned to arguments. Another important distinction is that between abstract approaches, that abstract away from the content of arguments, and structured approaches, that specify a method of constructing argument graphs on the basis of a knowledge base. While ranking-based semantics have been extensively applied to abstract argumentation, few work has been done on ranking-based semantics for structured argumentation. In this paper, we make a systematic investigation into the be- haviour of ranking-based semantics applied to existing formalisms for structured argumentation. We show that a wide class of ranking-based semantics gives rise to so-called culpability measures, and are relatively robust to specific choices in argument construction methods.

Knowledge Representation and Reasoning: KRR: Argumentation
BibTeX
@inproceedings{ijcai2023p364,
  title     = {Ranking-based Argumentation Semantics Applied to Logical Argumentation},
  author    = {Heyninck, Jesse and Raddaoui, Badran and Straßer, Christian},
  booktitle = {Proceedings of the Thirty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-23}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Edith Elkind},
  pages     = {3268--3276},
  year      = {2023},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2023/364},
  url       = {https://doi.org/10.24963/ijcai.2023/364},
}
Ranking-based Argumentation Semantics Applied to Logical Argumentation · IJCAI 2023