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.
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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|Item Type:||Journal Article|
|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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