Defeasible systems in legal reasoning : a comparative assessment

CALEGARI, Roberta; CONTISSA, Giuseppe; LAGIOIA, Francesca; OMICINI, Andrea; SARTOR, Giovanni

doi:10.3233/FAIA190320

2019

Contribution to book

CALEGARI, Roberta; CONTISSA, Giuseppe

; LAGIOIA, Francesca

; OMICINI, Andrea; SARTOR, Giovanni

Michał ARASZKIEWICZ and Víctor RODRÍGUEZ-DONCEL (eds), Legal knowledge and information systems : JURIX 2019 The thirty-second Annual Conference, Amsterdam : IOS Press, 2019, Frontiers in artificial intelligence and applications ; 322, pp. 169-174

Cite

CALEGARI, Roberta, CONTISSA, Giuseppe, LAGIOIA, Francesca, OMICINI, Andrea, SARTOR, Giovanni, Defeasible systems in legal reasoning : a comparative assessment, in Michał ARASZKIEWICZ and Víctor RODRÍGUEZ-DONCEL (eds), Legal knowledge and information systems : JURIX 2019 The thirty-second Annual Conference, Amsterdam : IOS Press, 2019, Frontiers in artificial intelligence and applications ; 322, pp. 169-174 - https://hdl.handle.net/1814/76636

Retrieved from Cadmus, EUI Research Repository

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.

Cadmus permanent link: https://hdl.handle.net/1814/76636

Full-text via DOI: 10.3233/FAIA190320

ISBN: 9781643680484; 9781643680491

ISSN: 0922-6389; 1879-8314

Publisher: IOS Press

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