A Comparative Study of Ranking-based Semantics for Abstract Argumentation
Artificial Intelligence
2016-02-03 v1
Abstract
Argumentation is a process of evaluating and comparing a set of arguments. A way to compare them consists in using a ranking-based semantics which rank-order arguments from the most to the least acceptable ones. Recently, a number of such semantics have been proposed independently, often associated with some desirable properties. However, there is no comparative study which takes a broader perspective. This is what we propose in this work. We provide a general comparison of all these semantics with respect to the proposed properties. That allows to underline the differences of behavior between the existing semantics.
Cite
@article{arxiv.1602.01059,
title = {A Comparative Study of Ranking-based Semantics for Abstract Argumentation},
author = {Elise Bonzon and Jérôme Delobelle and Sébastien Konieczny and Nicolas Maudet},
journal= {arXiv preprint arXiv:1602.01059},
year = {2016}
}
Comments
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-2016), Feb 2016, Phoenix, United States