Artificial Intelligence and Law 29 (4):541-557 (2021)
Abstract |
There are cases in which the literal interpretation of statutes may lead to counterintuitive consequences. When such cases go to high courts, judges may handle these counterintuitive consequences by identifying problematic rule conditions. Given that the law consists of a large number of rule conditions, it is demanding and exhaustive to figure out which condition is problematic. For solving this problem, our work aims to assist judges in civil law systems to resolve counterintuitive consequences using logic program representation of statutes and Legal Debugging. The core principle of Legal Debugging is to cooperate with a user to find a culprit, a root cause of counterintuitive consequences. This article proposes an algorithm to resolve a culprit. Since the statutes are represented by logic rules but changes in law are initiated by cases, we adopt a prototypical case with judgement specified by a set of rules. Then, to resolve a culprit, we reconstruct a program so that it provides reasons as if we applied case-based reasoning to a new set of prototypical cases with judgement, which include a new set of facts relevant to a considering case.
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DOI | 10.1007/s10506-021-09283-7 |
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References found in this work BETA
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An Improved Factor Based Approach to Precedential Constraint.Adam Rigoni - 2015 - Artificial Intelligence and Law 23 (2):133-160.
Statutory Interpretation as Argumentation.Douglas Walton, Giovanni Sartor & Fabrizio Macagno - 2018 - In Colin Aitken, Amalia Amaya, Kevin D. Ashley, Carla Bagnoli, Giorgio Bongiovanni, Bartosz Brożek, Cristiano Castelfranchi, Samuele Chilovi, Marcello Di Bello, Jaap Hage, Kenneth Einar Himma, Lewis A. Kornhauser, Emiliano Lorini, Fabrizio Macagno, Andrei Marmor, J. J. Moreso, Veronica Rodriguez-Blanco, Antonino Rotolo, Giovanni Sartor, Burkhard Schafer, Chiara Valentini, Bart Verheij, Douglas Walton & Wojciech Załuski (eds.), Handbook of Legal Reasoning and Argumentation. Cambridge University Press. pp. 519-560.
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Citations of this work BETA
Patterns for Legal Compliance Checking in a Decidable Framework of Linked Open Data.Enrico Francesconi & Guido Governatori - forthcoming - Artificial Intelligence and Law:1-20.
Law Smells.Corinna Coupette, Dirk Hartung, Janis Beckedorf, Maximilian Böther & Daniel Martin Katz - forthcoming - Artificial Intelligence and Law:1-34.
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