Out of their minds: legal theory in neural networks

Hunter, Dan (1999) Out of their minds: legal theory in neural networks. Artificial Intelligence and Law, 7(2-3), pp. 129-151.

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Abstract

This paper examines the use of connectionism (neural networks) in modelling legal reasoning. I discuss how the implementations of neural networks have failed to account for legal theoretical perspectives on adjudication. I criticise the use of neural networks in law, not because connectionism is inherently unsuitable in law, but rather because it has been done so poorly to date. The paper reviews a number of legal theories which provide a grounding for the use of neural networks in law. It then examines some implementations undertaken in law and criticises their legal theoretical naïvete. It then presents a lessons from the implementations which researchers must bear in mind if they wish to build neural networks which are justified by legal theories.

Impact and interest:

3 citations in Scopus
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ID Code: 71066
Item Type: Journal Article
Refereed: Yes
DOI: 10.1023/A:1008301122056
ISSN: 1572-8382
Divisions: Current > QUT Faculties and Divisions > Faculty of Law
Current > Schools > School of Law
Copyright Owner: Copyright 1999 Springer Netherlands
Deposited On: 06 May 2014 03:29
Last Modified: 06 May 2014 03:29

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