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Modifying the reason model

Modifying the reason model 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence and Law Springer Journals

Modifying the reason model

Horty, John
Artificial Intelligence and Law , Volume 29 (2) – Nov 18, 2020
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References (11)

Publisher
Springer Journals
Copyright
Copyright © Springer Nature B.V. 2020
ISSN
0924-8463
eISSN
1572-8382
DOI
10.1007/s10506-020-09275-z
Publisher site
See Article on Publisher Site

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.

Journal

Artificial Intelligence and Law – Springer Journals

Published: Nov 18, 2020

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