A Principle-Based Robustness Analysis of Labeling-Based Bipolar Argumentation Semantics

YU, Liuwen; Anaissy, Caren Al; Chen, Chen; VAN DER TORRE, Leon; YU, Liuwen

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A Principle-Based Robustness Analysis of Labeling-Based Bipolar Argumentation Semantics

YU, Liuwen; Anaissy, Caren Al; Chen, Chen et al.

2025 • In A Principle-Based Robustness Analysis of Labeling-Based Bipolar Argumentation Semantics

Peer reviewed

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https://hdl.handle.net/10993/67343

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Keywords :

Artificial intelligence; knowledge representation and reasoning; bipolar argumentation; robustness principle-based approach

Disciplines :

Computer science

Author, co-author :

YU, Liuwen ; University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Computer Science > Team Réka MARKOVICH

Anaissy, Caren Al; Sorbonne Université

Chen, Chen; Zhejiang University

VAN DER TORRE, Leon ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

YU, Liuwen ; University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Computer Science > Team Réka MARKOVICH

External co-authors :

yes

Language :

English

Title :

A Principle-Based Robustness Analysis of Labeling-Based Bipolar Argumentation Semantics

Publication date :

2025

Event name :

Logics for New-Generation AI 2025

Event place :

Luxembourg

Event date :

2025/12/01-2025/12/05

Audience :

International

Main work title :

A Principle-Based Robustness Analysis of Labeling-Based Bipolar Argumentation Semantics

Publisher :

College Publicaiton, London, United Kingdom

ISBN/EAN :

978-1-84890-495-8

Pages :

35-50

Peer reviewed :

Peer reviewed

Available on ORBilu :

since 19 January 2026

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