TY - GEN
T1 - Ranking Extensions in Abstract Argumentation
AU - Skiba, Kenneth
AU - Rienstra, Tjitze
AU - Thimm, Matthias
AU - Heyninck, Jesse
AU - Kern-Isberner, Gabriele
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2021
Y1 - 2021
N2 - Extension-based semantics in abstract argumentation provide a criterion to determine whether a set of arguments is acceptable or not. In this paper, we present the notion of extension-ranking semantics, which determines a preordering over sets of arguments, where one set is deemed more plausible than another if it is somehow more acceptable. We obtain extension-based semantics as a special case of this new approach, but it also allows us to make more fine-grained distinctions, such as one set being “more complete” or “more admissible” than another. We define a number of general principles to classify extension-ranking semantics and develop concrete approaches. We also study the relation between extension-ranking semantics and argument-ranking semantics, which rank individual arguments instead of sets of arguments.
AB - Extension-based semantics in abstract argumentation provide a criterion to determine whether a set of arguments is acceptable or not. In this paper, we present the notion of extension-ranking semantics, which determines a preordering over sets of arguments, where one set is deemed more plausible than another if it is somehow more acceptable. We obtain extension-based semantics as a special case of this new approach, but it also allows us to make more fine-grained distinctions, such as one set being “more complete” or “more admissible” than another. We define a number of general principles to classify extension-ranking semantics and develop concrete approaches. We also study the relation between extension-ranking semantics and argument-ranking semantics, which rank individual arguments instead of sets of arguments.
U2 - 10.24963/ijcai.2021/282
DO - 10.24963/ijcai.2021/282
M3 - Conference article in proceeding
SP - 2047
EP - 2053
BT - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21)
T2 - 30th International Conference on Artificial Intelligence
Y2 - 21 August 2021
ER -