Ranking-based Argumentation Semantics Applied to Logical Argumentation

Jesse Heyninck, Badran Raddaoui, Christian Straßer

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review

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 acceptability 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 behaviour 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.

Original languageEnglish
Title of host publicationProceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
EditorsEdith Elkind
PublisherInternational Joint Conferences on Artificial Intelligence
Pages3268-3276
Number of pages9
ISBN (Electronic)9781956792034
DOIs
Publication statusPublished - 2023
Event32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 - Macao, China
Duration: 19 Aug 202325 Aug 2023
https://ijcai-23.org/

Publication series

SeriesIJCAI International Joint Conference on Artificial Intelligence
Volume2023-August
ISSN1045-0823

Conference

Conference32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
Abbreviated titleIJCAI 2023
Country/TerritoryChina
CityMacao
Period19/08/2325/08/23
Internet address

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