Deductive, inductive and analogical reasoning in legal decision support systems

Zeleznikow, John & Hunter, Dan (1995) Deductive, inductive and analogical reasoning in legal decision support systems. Information and Communications Technology Law, 4(2), pp. 141-159.

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Abstract

In this paper we provide an overview of a number of fundamental reasoning formalisms in artificial intelligence which can and have been used in modelling legal reasoning. We describe deduction, induction and analogical reasoning formalisms, and show how they can be used separately to model legal reasoning. We argue that these formalisms can be used together to model legal reasoning more accurately, and describe a number of attempts to integrate the approaches.

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ID Code: 71118
Item Type: Journal Article
Refereed: Yes
DOI: 10.1080/13600834.1995.9965715
ISSN: 1360-0834
Divisions: Current > QUT Faculties and Divisions > Faculty of Law
Current > Schools > School of Law
Copyright Owner: Copyright 1995 Routledge
Deposited On: 07 May 2014 03:04
Last Modified: 07 May 2014 03:04

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