Revisiting Support in Abstract Argumentation Systems

Sylwia Polberg, Nir Oren

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

24 Citations (Scopus)

Abstract

Dung's original argumentation frameworks have been extended in various ways. One such extension introduces positive interactions, or support, between arguments. Frameworks containing evidential, necessary, and deductive supports have been proposed, and it is natural to compare these and analyse whether translations between these are possible. Although a positive answer was given in the necessary and deductive cases, it was claimed that evidential support cannot be expressed by any other type and that it cannot be handled together with them in a single framework. In this paper we show that it is not the case and that there exists a natural translation between argumentation frameworks with necessities and evidential argumentation systems.

Original languageEnglish
Title of host publicationComputational Models of Argument - Proceedings of COMMA 2014
EditorsSimon Parsons, Nir Oren, Chris Reed, Federico Cerutti
PublisherIOS Press
Pages369-376
Number of pages8
ISBN (Electronic) 9781614994367
ISBN (Print)9781614994350
DOIs
Publication statusPublished - 2014
Event5th International Conference on Computational Models of Argument, COMMA 2014 - Pitlochry, United Kingdom
Duration: 9 Sep 201412 Sep 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume266
ISSN (Print)09226389

Conference

Conference5th International Conference on Computational Models of Argument, COMMA 2014
CountryUnited Kingdom
CityPitlochry
Period9/09/1412/09/14

Keywords

  • Abstract argumentation
  • evidential support
  • necessary support

Cite this

Polberg, S., & Oren, N. (2014). Revisiting Support in Abstract Argumentation Systems. In S. Parsons, N. Oren, C. Reed, & F. Cerutti (Eds.), Computational Models of Argument - Proceedings of COMMA 2014 (pp. 369-376). (Frontiers in Artificial Intelligence and Applications; Vol. 266). IOS Press. https://doi.org/10.3233/978-1-61499-436-7-369