Ranking-Based Semantics for Sets of Attacking Arguments

Bruno Yun, Srdjan Vesic, Madalina Croitoru

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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)
Pages3033-3040
Number of pages8
ISBN (Print)978-1-57735-823-7
DOIs
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
https://aaai.org/Conferences/AAAI-20/

Publication series

NameProceedings of the AAAI Conference on Artificial Intelligence
Number03
Volume34
ISSN (Print)2159-5399
ISSN (Electronic)2374-3468

Conference

ConferenceThirty-Fourth AAAI Conference on Artificial Intelligence
Abbreviated titleAAAI
CountryUnited States
CityNew York
Period7/02/2012/02/20
Internet address

Keywords

  • Argumentation
  • SETAF
  • Ranking-based semantics
  • Knowledge representation

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