A Principle-based Analysis of Abstract Agent Argumentation Semantics

Yu, Liuwen; Chen, Dongheng; Qiao, Lisha; Shen, Yiqi; van der Torre, Leon

doi:10.24963/kr.2021/60

Reference : A Principle-based Analysis of Abstract Agent Argumentation Semantics


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/49903

Title :	A Principle-based Analysis of Abstract Agent Argumentation Semantics
Language :	English
Author, co-author :	Yu, Liuwen [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI VDT >]
	Chen, Dongheng []
	Qiao, Lisha []
	Shen, Yiqi []
	van der Torre, Leon [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Publication date :	2021
Main document title :	Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021, Online event, November 3-12, 2021
Author, co-author :	Bienvenu, Meghyn
	Lakemeyer, Gerhard
	Erdem, Esra
Publisher :	IJCAI Organization
Pages :	629–639
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-1-956792-99-7
Event name :	International Conference on Principles of Knowledge Representation and Reasoning
Event date :	from 3-11-2021 to 12-11-2021
Event place (city) :	Online event
Keywords :	[en] Argumentation ; Modeling and reasoning about preferences ; Decision making ; Applications of KR
Abstract :	[en] Abstract agent argumentation frameworks extend Dung’s theory with agents, and in this paper we study four types of semantics for them. First, agent defense semantics replaces Dung’s 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.
Funders :	European Union’s Horizon 2020 research and innovation program ; Fonds National de la Recherche Luxembourg
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/49903
DOI :	10.24963/kr.2021/60
Framework Programme / European Project :	H2020 ; 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything
FnR project :	FnR ; FNR13995684 > Leon Van Der Torre > DLAI > Deontic Logic For Artificial Intelligence > 01/09/2020 > 31/08/2022 > 2019

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