{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T02:22:42Z","timestamp":1774146162034,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:p>Abstract agent argumentation frameworks extend Dung\u2019s theory with agents, and in this paper we  study four types of semantics for them. First, agent defense semantics replaces Dung\u2019s notion of defense by some kind of agent defense. Second, social agent semantics prefers  arguments that belong to more agents. Third, agent reduction semantics considers the perspective of individual agents. Fourth, agent filtering semantics are inspired by a lack of knowledge. We study five existing principles and we introduce twelve new ones. In total, we provide a full analysis of fifty-two agent semantics and the seventeen principles.<\/jats:p>","DOI":"10.24963\/kr.2021\/60","type":"proceedings-article","created":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T16:45:56Z","timestamp":1633970756000},"page":"629-639","source":"Crossref","is-referenced-by-count":5,"title":["A Principle-based Analysis of Abstract Agent Argumentation Semantics"],"prefix":"10.24963","author":[{"given":"Liuwen","family":"Yu","sequence":"first","affiliation":[{"name":"Luxembourg University"},{"name":"University of Bologna"},{"name":"University of Turin"}]},{"given":"Dongheng","family":"Chen","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University"}]},{"given":"Lisha","family":"Qiao","sequence":"additional","affiliation":[{"name":"Luxembourg University"},{"name":"University of Bologna"}]},{"given":"Yiqi","family":"Shen","sequence":"additional","affiliation":[{"name":"Zhejiang University"}]},{"given":"Leendert","family":"van der Torre","sequence":"additional","affiliation":[{"name":"Luxembourg University"},{"name":"Zhejiang University"}]}],"member":"10584","event":{"name":"18th International Conference on Principles of Knowledge Representation and Reasoning {KR-2021}","theme":"Artificial Intelligence","location":"Hanoii, Vietnam","acronym":"KR-2021","number":"18","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","Sea AI Lab","Potassco Solutions","European Association for Artificial Intelligence"],"start":{"date-parts":[[2020,11,12]]},"end":{"date-parts":[[2021,11,18]]}},"container-title":["Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T16:46:27Z","timestamp":1633970787000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2021\/60"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2021\/60","relation":{},"subject":[],"published":{"date-parts":[[2021,9]]}}}