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Inferring new classifications in legal case-based reasoning
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0922-6389; 1879-8314
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Giovanni SILENO, Jerry SPANAKIS and Gijs VAN DIJCK (eds), Legal knowledge and information systems : JURIX 2023 The thirty-sixth annual conference, Maastricht, the Netherlands, 18–20 December 2023, Amsterdam : IOS Press, 2023, Frontiers in Artificial Intelligence and applications ; 379, pp. 23-32
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DI FLORIO, Cecilia, LIU, Xinghan, LORINI, Emiliano, ROTOLO, Antonino, SARTOR, Giovanni, Inferring new classifications in legal case-based reasoning, in Giovanni SILENO, Jerry SPANAKIS and Gijs VAN DIJCK (eds), Legal knowledge and information systems : JURIX 2023 The thirty-sixth annual conference, Maastricht, the Netherlands, 18–20 December 2023, Amsterdam : IOS Press, 2023, Frontiers in Artificial Intelligence and applications ; 379, pp. 23-32 - https://hdl.handle.net/1814/78105
Abstract
This article continues the research initiated in [1,2], which established a connection between Boolean classifiers and legal case-based reasoning. We relax the assumption that case bases are such that all situations have been decided in favour of the defendant or the plaintiff and we introduce an inductive strategy for assigning plausible outcomes to undecided cases. Using counterfactual reasoning, we propose a method to determine whether, at each step of the induction, a feature is a factor, i.e., it consistently favours a single outcome, or is irrelevant, i.e., it is does not favour any outcome, or is ambiguous, i.e., it favours opposite outcomes.