Deductive, inductive and analogical reasoning in legal decision support systems


Autoria(s): Zeleznikow, John; Hunter, Dan
Data(s)

1995

Resumo

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.

Identificador

http://eprints.qut.edu.au/71118/

Publicador

Routledge

Relação

http://www.tandfonline.com/doi/abs/10.1080/13600834.1995.9965715

DOI:10.1080/13600834.1995.9965715

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.

Direitos

Copyright 1995 Routledge

Fonte

Faculty of Law; School of Law

Tipo

Journal Article