Defeasible Systems in Legal Reasoning: A Comparative Assessment

Last modified by Andrea Omicini on 2020/10/12 16:28

Roberta Calegari, Giuseppe Contissa, Francesca Lagioia, Andrea Omicini, Giovanni Sartor

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.

Keywords: AI and Law, legal reasoning, defeasible reasoning, argumentation
Legal Knowledge and Information Systems. JURIX 2019: The Thirty-second Annual Conference, Frontiers in Artificial Intelligence and Applications 322, pages 169-174, 11-13 December 2019.
Michał Araszkiewicz, Víctor Rodríguez-Doncel (eds.), IOS Press
@incollection{defeasiblelegalreasoning-jurix2019,
	Author = {Calegari, Roberta and Contissa, Giuseppe and Lagioia, Francesca and Omicini, Andrea and Sartor, Giovanni},
	Booktitle = {Legal Knowledge and Information Systems. JURIX 2019: The Thirty-second Annual Conference},
	Doi = {10.3233/FAIA190320},
	Editor = {Araszkiewicz, Micha{\l} and Rodr{\'\i}guez-Doncel, V{\'\i}ctor},
	IrisId = {11585/708232},
	Isbn = {978-1-64368-048-4},
	Isbn-Online = {978-1-64368-049-1},
	Keywords = {AI and Law, legal reasoning, defeasible reasoning, argumentation},
	Location = {Madrid, Spain},
	Month = {11-13}}},
	ScopusId = {2-s2.0-85082137325},
	Series = {Frontiers in Artificial Intelligence and Applications},
	Title = {Defeasible Systems in Legal Reasoning: A Comparative Assessment},
	Volume = 322,
	Year = 2019}

    

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