Combining Fuzzy Logic and Formal Argumentation for Legal Interpretation

Célia da Costa Pereira (1) , Andrea G. B. Tettamanzi (2) , Beishui Liao (3) , Alessandra Malerba (4) , Antonino Rotolo (4) , Leendert van Der Torre (5)

1 Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
3 Zhejiang University
4 UNIBO - Alma Mater Studiorum Università di Bologna = University of Bologna
5 ICR - Individual and Collective Reasoning

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.

Mots clés: Legal Interpretation; Fuzzy Logic; Argumentation

Domaines: Intelligence artificielle [cs.AI]

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. ICAIL 2017 - 16th International Conference on Articial Intelligence and Law, Jun 2017, London, United Kingdom. pp.49-58, ⟨10.1145/3086512.3086532⟩. ⟨hal-01672343⟩