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  1. Toward representing interpretation in factor-based models of precedent.Adam Rigoni - forthcoming - Artificial Intelligence and Law.
    This article discusses the desirability and feasibility of modeling precedents with multiple interpretations within factor-based models of precedential constraint. The main idea is that allowing multiple reasonable interpretations of cases and modeling precedential constraint as a function of what all reasonable interpretations compel may be advantageous. The article explains the potential benefits of extending the models in this way with a focus on incorporating a theory of vertical precedent in U.S. federal appellate courts. It also considers the costs of extending (...)
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  • Precedent-based reasoning with incomplete information for human-in-the-loop decision support.Daphne Odekerken, Floris Bex & Henry Prakken - forthcoming - Artificial Intelligence and Law:1-46.
    We define and study the notions of stability and relevance for precedent-based reasoning, focusing on Horty’s result model of precedential constraint. According to this model, precedents constrain the possible outcomes for a focus case, which is a yet undecided case, where precedents and the focus case are compared on their characteristics (called dimensions). In this paper, we refer to the enforced outcome for the focus case as its justification status. In contrast to earlier work, we do not assume that all (...)
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