Ranking-Based Semantics for Sets of Attacking Arguments

Bruno Yun, Srdjan Vesic, Madalina Croitoru

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

8 Citations (Scopus)


Argumentation is a process of evaluating and comparing sets of arguments. Ranking-based semantics received a lot of attention recently. All of the semantics introduced so far are applicable to binary attack relations. In this paper, we study a more general case when sets of arguments can jointly attack an argument. We generalise existing postulates for ranking-based semantics to fit this framework, define a general variant of h-categoriser, prove that it converges for every argumentation framework and study the postulates it satisfies. We also study the link between binary and hypergraph version of h-categoriser.
Original languageEnglish
Title of host publicationProceedings of the AAAI Conference on Artificial Intelligence
Place of PublicationPalo Alto, California USA
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI)
Number of pages8
ISBN (Print)978-1-57735-823-7
Publication statusPublished - 5 Jun 2020
EventThirty-Fourth AAAI Conference on Artificial Intelligence - New York, United States
Duration: 7 Feb 202012 Feb 2020
Conference number: 34

Publication series

NameProceedings of the AAAI Conference on Artificial Intelligence
ISSN (Print)2159-5399
ISSN (Electronic)2374-3468


ConferenceThirty-Fourth AAAI Conference on Artificial Intelligence
Abbreviated titleAAAI
Country/TerritoryUnited States
CityNew York
Internet address


  • Argumentation
  • Ranking-based semantics
  • Knowledge representation


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