[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 :
Sciences informatiques
Auteur, co-auteur :
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)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
A Principle-based Analysis for Numerical Balancing
Date de publication/diffusion :
24 juin 2024
Nom de la manifestation :
Logics for New-Generation Artificial Intelligence (LNGAI2024)
Date de la manifestation :
June 15--16
Manifestation à portée :
International
Titre de l'ouvrage principal :
Proceedings of the 4th International Workshop on Logics for New-Generation Artificial Intelligence