Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Arguing coalitions in abstract argumentation
Qiao, Lisha; Shen, Yiqi; Yu, Liuwen et al.
2021In Liao, Beishui; Luo, Jieting; van der Torre, Leon (Eds.) Logics for New-Generation AI 2021
Peer reviewed
 

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Keywords :
abstract argumentation; abstract agent argumentation; coalition formation
Abstract :
[en] In this paper, we are interested in different ways in which agents can collaborate in abstract agent argumentation. First, if arguments are accepted when they are put forward by more than one agent, then agents can put forward arguments from other agents of the coalition. Second, agents can put forward arguments to defend argu- ments from other agents of the coalition. For example, in expert opinion, a domain expert can put forward an argument defending an argument made by a politician, even when the politician cannot judge the correctness of the argument. Third, agents from a coalition can collectively defend an argument they share, without being able to defend the argument individually. In this paper, we formalize the different kinds of collaboration in abstract agent argumentation, and we illustrate the coalition for- mation with a case study in political debate.
Disciplines :
Computer science
Author, co-author :
Qiao, Lisha
Shen, Yiqi
Yu, Liuwen
Liao, Beishui
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 :
Arguing coalitions in abstract argumentation
Publication date :
2021
Event name :
First International Workshop on Logics for New-Generation AI 2021, 18-20 June 2021, Hangzhou
Event place :
Hangzhou, China
Event date :
from 18-6-2021 to 20-6-2021
Audience :
International
Main work title :
Logics for New-Generation AI 2021
Author, co-author :
Liao, Beishui
Luo, Jieting
van der Torre, Leon 
Publisher :
College Publications, London, United Kingdom
ISBN/EAN :
978-1-84890-373-9
Collection name :
Logics for New-Generation AI
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything
Funders :
EU H2020 research and innovation programme
CE - Commission Européenne [BE]
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