Paper published in a book (Scientific congresses, symposiums and conference proceedings)
A Principle-based Analysis of Abstract Agent Argumentation Semantics
Yu, Liuwen; Chen, Dongheng; Qiao, Lishaet al.
2021 • In Bienvenu, Meghyn; Lakemeyer, Gerhard; Erdem, Esra (Eds.) Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021, Online event, November 3-12, 2021
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.
Disciplines :
Computer science
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)
External co-authors :
yes
Language :
English
Title :
A Principle-based Analysis of Abstract Agent Argumentation Semantics
Publication date :
2021
Event name :
International Conference on Principles of Knowledge Representation and Reasoning
Event date :
from 3-11-2021 to 12-11-2021
Audience :
International
Main work 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
ISBN/EAN :
978-1-956792-99-7
Pages :
629–639
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything
FnR Project :
FNR13995684 - Deontic Logic For Artificial Intelligence, 2019 (01/09/2020-31/08/2022) - Leon Van Der Torre
Funders :
European Union’s Horizon 2020 research and innovation program Fonds National de la Recherche Luxembourg CE - Commission Européenne [BE]
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