Defeasible Systems in Legal Reasoning: A Comparative Assessment

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Roberta Calegari, Giuseppe Contissa, Francesca Lagioia, Andrea Omicini, Giovanni Sartor
Michał Araszkiewicz, Víctor Rodríguez-Doncel (a cura di)
Legal Knowledge and Information Systems. JURIX 2019: The Thirty-second Annual Conference, pp. 169-174
Frontiers in Artificial Intelligence and Applications 322
IOS Press
11-13 December 2019

Different formalisms for defeasible reasoning have been used to represent legal knowledge and to reason with it. In this work, we provide an overview of the following logic-based approaches to defeasible reasoning: Defeasible Logic, Answer Set Programming, ABA+, ASPIC+, and DeLP. We compare features of these approaches from three perspectives: the logical model (knowledge representation), the method (computational mechanisms), and the technology (available software). On this basis, we identify and apply criteria for assessing their suitability for legal applications. We discuss the different approaches through a legal running example.

parole chiaveAI and Law, legal reasoning, defeasible reasoning, argumentation
evento origine
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pubblicazione di riferimento per presentazione
page_white_powerpointDefeasible Systems in Legal Reasoning: A Comparative Assessment (JURIX 2019, 12/12/2019) — Giovanni Sartor (Roberta Calegari, Giuseppe Contissa, Francesca Lagioia, Andrea Omicini, Giovanni Sartor)