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Conference Papers Year : 2017

Combining Fuzzy Logic and Formal Argumentation for Legal Interpretation

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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.
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Dates and versions

hal-01672343 , version 1 (24-12-2017)

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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⟩
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