Artificial Intelligence and Law 29 (2):271-285 (2021)

Authors
John Horty
University of Maryland, College Park
Abstract
In previous work, I showed how the “reason model” of precedential constraint could naturally be generalized from the standard setting in which it was first developed to a richer setting in which dimensional information is represented as well. Surprisingly, it then turned out that, in this new dimensional setting, the reason model of constraint collapsed into the “result model,” which supports only a fortiori reasoning. The purpose of this note is to suggest a modification of the reason model of constraint that distinguishes it from the result model even in the dimensional setting.
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DOI 10.1007/s10506-020-09275-z
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References found in this work BETA

Reasoning with dimensions and magnitudes.John Horty - 2019 - Artificial Intelligence and Law 27 (3):309-345.
Representing Dimensions Within the Reason Model of Precedent.Adam Rigoni - 2018 - Artificial Intelligence and Law 26 (1):1-22.
A Factor-Based Definition of Precedential Constraint.John F. Horty & Trevor J. M. Bench-Capon - 2012 - Artificial Intelligence and Law 20 (2):181-214.

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