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Issue title: Special section: Formal tools and methods of Artificial Intelligence
Guest editors: Zied Bouraoui and Anaëlle Wilczynski
Article type: Research Article
Authors: Leturc, Christophera; * | Bonnet, Grégoryb
Affiliations: [a] Université Côte d’Azur, CNRS, I3S, 06902 Valbonne, France | [b] Normandie Université, UNICAEN, ENSICAEN, CNRS, GREYC, 14000 Caen, France
Correspondence: [*] Corresponding author. E-mail: christopher.leturc@univ-cotedazur.fr.
Abstract: Autonomous behaviors may raise ethical issues that agents must consider in their reasoning. Some approaches use deontic logics, while others consider a value-based argumentation framework. However, no work combines both modal logic and argumentation to reason about ethics. Hence, we propose a new argumentation framework where arguments are built from a n-ary multi-modal logic. It allows to express different kinds of operators, e.g. nullary choice or moral worth operators, dyadic deontic operators or mental states. However the standard attacks based on logical contradictions are no longer sufficient to catch an intuitive meaning for attacks. Hence, we enrich standard attacks by characterizing how oppositions between modal operators arise. Furthermore we show the standard logic-based attacks have a quasi-symmetry property, i.e. when an argument attacks another, this argument is necessarily attacked by another one. Our modal attacks do not have this property, which is highly relevant to decide a dilemma.
Keywords: Computational ethics, modal logic, structured argumentation
DOI: 10.3233/AIC-220301
Journal: AI Communications, vol. 37, no. 3, pp. 323-355, 2024
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