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A Taxonomy for Modelling Discretionary Decision Making in the Legal Domain

Schild, Uri J and Zeleznikow, John (2005) A Taxonomy for Modelling Discretionary Decision Making in the Legal Domain. In: Proceedings of the Tenth International Conference on Artificial Intelligence and Law. ACM Press, pp. 60-64.

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Abstract

In attempting to model how legal discretion is exercised, we have previously discussed the notion of open texture and introduced the notion of boundedness of legal domains. Through a series of case studies we have noticed that an important factor has been overlooked: namely whether the decisions made in a given domain are binary. We develop a set of three criteria for computer modeling of legal discretion and discuss the eight octants that arise from the three-dimensional space formed by these criteria.

Item Type: Book Section
ISBN: 1595930817
Additional Information:

Conference :
ICAIL 2005 10th International Joint Conference on Artificial Intelligence and Law
Bologna, Italy — June 06 - 11, 2005

Uncontrolled Keywords: ResPubID8609, legal software system, case-based reasoning, machine learning, knowledge discovery, jurisprudence, alternative dispute resolution, ADR, discretionary reasoning
Subjects: RFCD Classification > 280000 Information, Computing and Communication Sciences
FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0806 Information Systems
FOR Classification > 1801 Law
Faculty/School/Research Centre/Department > School of Management and Information Systems
Depositing User: VUIR
Date Deposited: 17 Sep 2013 06:44
Last Modified: 17 Sep 2013 06:44
URI: http://vuir.vu.edu.au/id/eprint/10654
DOI: https://doi.org/10.1145/1165485.1165495
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Citations in Scopus: 1 - View on Scopus

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