Reference : A Principle-based Analysis of Abstract Agent Argumentation Semantics
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
A Principle-based Analysis of Abstract Agent Argumentation Semantics
Yu, Liuwen mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI VDT >]
Chen, Dongheng []
Qiao, Lisha []
Shen, Yiqi []
van der Torre, Leon mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021, Online event, November 3-12, 2021
Bienvenu, Meghyn
Lakemeyer, Gerhard
Erdem, Esra
IJCAI Organization
International Conference on Principles of Knowledge Representation and Reasoning
from 3-11-2021 to 12-11-2021
Online event
[en] Argumentation ; Modeling and reasoning about preferences ; Decision making ; Applications of KR
[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.
European Union’s Horizon 2020 research and innovation program ; Fonds National de la Recherche Luxembourg
H2020 ; 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything
FnR ; FNR13995684 > Leon Van Der Torre > DLAI > Deontic Logic For Artificial Intelligence > 01/09/2020 > 31/08/2022 > 2019

File(s) associated to this reference

Fulltext file(s):

Limited access
kr2021-0060-yu-et-al.pdfPublisher postprint164.24 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.