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A Principle-based Analysis for Numerical Balancing
KNOKS, Aleks; SHAO, Muyun; VAN DER TORRE, Leon et al.
2024In Proceedings of the 4th International Workshop on Logics for New-Generation Artificial Intelligence
Peer reviewed
 

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Keywords :
reasons; weighing; deatchment; principle-based analysis
Abstract :
[en] The more recent philosophical literature concerned with foundational questions about normativity often appeals to the notion of normative reasons, or considerations that count in favor or against actions, and their interaction. The interaction between reasons is standardly conceived of in terms of weighing reasons on (normative) weight scales. Knoks and van der Torre [8] have recently proposed a formal framework that allows one to think about the interaction between reasons as a kind of inference pattern. This paper extends that framework by introducing and exploring what we call numerical balancing operators. These operators represent the weights or magnitudes of reasons by means of numbers, and they are particularly well-suited for capturing the intuition of aggregating and weighing reasons. We define a number of concrete classes of balancing operators and explore them using a principle-based analysis.
Disciplines :
Computer science
Author, co-author :
KNOKS, Aleks  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Humanities (DHUM) > Philosophy
SHAO, Muyun;  Zhejiang University > School of Philosophy
VAN DER TORRE, Leon ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
DE WIT, Vincent  ;  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 (FSTM) > Department of Computer Science (DCS)
External co-authors :
yes
Language :
English
Title :
A Principle-based Analysis for Numerical Balancing
Publication date :
24 June 2024
Event name :
Logics for New-Generation Artificial Intelligence (LNGAI2024)
Event date :
June 15--16
Audience :
International
Main work title :
Proceedings of the 4th International Workshop on Logics for New-Generation Artificial Intelligence
Publisher :
College Publications, United Kingdom
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 07 July 2024

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