Combining Fuzzy Logic and Formal Argumentation for Legal Interpretation

Abstract : The interpretation of a norm is often uncertain and connicting. In this paper we propose a model for arguing about legal interpretation , which considers the problems of vagueness. After motivating our adoption of graded categories as a tool to tackle the problem of open texture in legal interpretation, we introduce a model based on fuzzy logic and argumentation. Then, we conduct a case study by using an example from medically assisted reproduction.
Type de document :
Communication dans un congrès
Guido Governatori. ICAIL 2017 - 16th International Conference on Articial Intelligence and Law, Jun 2017, London, United Kingdom. ACM, ICAIL'17 Proceedings of the 16th Edition of the International Conference on Articial Intelligence and Law, pp.49-58, 2017, 〈https://nms.kcl.ac.uk/icail2017/〉. 〈10.1145/3086512.3086532〉
Liste complète des métadonnées

Littérature citée [37 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01672343
Contributeur : Andrea G. B. Tettamanzi <>
Soumis le : dimanche 24 décembre 2017 - 12:30:45
Dernière modification le : mercredi 31 janvier 2018 - 10:24:06

Fichier

ICAIL2017-authorversion.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Célia Da Costa Pereira, Andrea G. B. Tettamanzi, Beishui Liao, Alessandra Malerba, Antonino Rotolo, et al.. Combining Fuzzy Logic and Formal Argumentation for Legal Interpretation. Guido Governatori. ICAIL 2017 - 16th International Conference on Articial Intelligence and Law, Jun 2017, London, United Kingdom. ACM, ICAIL'17 Proceedings of the 16th Edition of the International Conference on Articial Intelligence and Law, pp.49-58, 2017, 〈https://nms.kcl.ac.uk/icail2017/〉. 〈10.1145/3086512.3086532〉. 〈hal-01672343〉

Partager

Métriques

Consultations de la notice

217

Téléchargements de fichiers

110