On the Effectiveness of Automated Configuration in Abstract Argumentation Reasoning

Federico Cerutti, Mauro Vallati, Massimiliano Giacomin

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

2 Citations (Scopus)

Abstract

In this paper we investigate the impact of automated configuration techniques on the ArgSemSAT solver—runner-up of the ICCMA 2015—for solving the enumeration of preferred extensions. Moreover, we introduce a fully automated method for varying how argumentation frameworks are represented in the input file, and evaluate how the joint configuration of frameworks and ArgSemSAT parameters can have a remarkable impact on performance. Our findings suggest that automated configuration techniques lead to improved performances in argumentation solvers, an important message for participants to the forthcoming competition.
Original languageEnglish
Title of host publicationComputational Models of Argument
Subtitle of host publicationProceedings of COMMA 2016
Place of PublicationNetherlands
PublisherIOS Press
Pages199-206
Number of pages8
Volume287
ISBN (Electronic)9781614996866
ISBN (Print)9781614996859
DOIs
Publication statusPublished - Sep 2016
Event6th International Conference on Computational Models of Argument - University of Potsdam, Potsdam, Germany
Duration: 13 Sep 201616 Sep 2016
Conference number: 6
http://www.ling.uni-potsdam.de/comma2016/ (Link to Conference Website)

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Volume287
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference6th International Conference on Computational Models of Argument
Abbreviated titleCOMMA 2016
CountryGermany
CityPotsdam
Period13/09/1616/09/16
Internet address

Cite this

Cerutti, F., Vallati, M., & Giacomin, M. (2016). On the Effectiveness of Automated Configuration in Abstract Argumentation Reasoning. In Computational Models of Argument: Proceedings of COMMA 2016 (Vol. 287, pp. 199-206). (Frontiers in Artificial Intelligence and Applications; Vol. 287). Netherlands: IOS Press. https://doi.org/10.3233/978-1-61499-686-6-199