{"type":"ScholarlyArticle","title":"Ranking Extensions in Abstract Argumentation","authors":[{"name":"Kenneth Skiba","slug":"kenneth-skiba","given":"Kenneth","family":"Skiba","affiliation":""},{"name":"Tjitze Rienstra","slug":"tjitze-rienstra","given":"Tjitze","family":"Rienstra","affiliation":""},{"name":"Matthias Thimm","slug":"matthias-thimm","given":"Matthias","family":"Thimm","affiliation":""},{"name":"Jesse Heyninck","slug":"jesse-heyninck","given":"Jesse","family":"Heyninck","affiliation":""},{"name":"Gabriele Kern-Isberner","slug":"gabriele-kern-isberner","given":"Gabriele","family":"Kern-Isberner","affiliation":""}],"abstract":"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 based semantics, which rank individual arguments instead of sets of arguments.","doi":"10.24963/ijcai.2021/282","url":"https://ijcai.org/proceedings/2021/282","pdf":"https://ijcai.org/proceedings/2021/0282.pdf","markdown":"https://ijcai.org/proceedings/2021/282.md","bibtex":"https://ijcai.org/proceedings/2021/bibtex/282","volume":{"slug":"2021","title":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2021","url":"https://ijcai.org/proceedings/2021/","year":2021,"location":"Montreal","dates":"19-27 August 2021","editors":"Prof. Zhi-Hua Zhou","isbn":"978-0-9992411-9-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2021"},"section":"Knowledge Representation and Reasoning","track":"Main Track","number":282,"pages":{"first":2047,"last":2053},"keywords":["Knowledge Representation and Reasoning: Computational Models of Argument"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}