Journal
ARTIFICIAL INTELLIGENCE AND LAW
Volume 23, Issue 1, Pages 23-42Publisher
SPRINGER
DOI: 10.1007/s10506-015-9163-0
Keywords
Adjudication; Balancing; Decision support; Choice
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In the course of legal reasoning-whether for purposes of deciding an issue, justifying a decision, predicting how an issue will be decided, or arguing for how it should be decided-one often is required to reach (and assert) conclusions based on a balance of reasons that is not straightforwardly reducible to the application of rules. Recent AI and Law work has modeled reason-balancing, both within and across cases, with set-theoretic and rule-or value-ordering approaches. This article explores a way to model balancing in quantitative terms that may yield new questions, insights, and tools.
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