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Algorithms and Tools for Abstract Argumentation

Mickaël Lafages 1, 2
1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
IRIT - Institut de recherche en informatique de Toulouse
2 IRIT-LILaC - Logique, Interaction, Langue et Calcul
IRIT - Institut de recherche en informatique de Toulouse
Abstract : Computing acceptability semantics of abstract argumentation frameworks is receiving increasing attention. Focused on finding algorithms and tools to make the abstract argumentation domain progress, this paper presents the objective of my PhD. So far, a distributed and clustering based algorithm, AFDivider, has been proposed. Designed for Dung’s argumentation framework, it enumerates the acceptable sets of the main semantics proposed by Dung. Empirical results are presented. Possibility of extensions to other more expressive argumentation frameworks are planned.
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Contributor : Marie-Christine Lagasquie-Schiex Connect in order to contact the contributor
Submitted on : Monday, May 31, 2021 - 4:13:19 PM
Last modification on : Tuesday, October 19, 2021 - 2:23:37 PM

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  • HAL Id : hal-03243486, version 1
  • ARXIV : 2006.12020


Mickaël Lafages. Algorithms and Tools for Abstract Argumentation. Federico Castagna; Francesca Mosca; Jack Mumford; Stefan Sarkadi; Andreas Xydis. Online Handbook of Argumentation for AI (OHAAI) : Volume 1, pp.17-21, 2020. ⟨hal-03243486⟩



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