Developing Co-operating Legal Knowledge Based Systems

Vossos, George, Zeleznikow, John, & Hunter, Daniel (1993) Developing Co-operating Legal Knowledge Based Systems. In Torasso, Pietro (Ed.) Advances in Artificial Intelligence. Springer Berlin Heidelberg, pp. 160-165.

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Abstract

In attempting to build intelligent litigation support tools, we have moved beyond first generation, production rule legal expert systems. Our work supplements rule-based reasoning with case based reasoning and intelligent information retrieval. This research, specifies an approach to the case based retrieval problem which relies heavily on an extended object-oriented / rule-based system architecture that is supplemented with causal background information. Machine learning techniques and a distributed agent architecture are used to help simulate the reasoning process of lawyers. In this paper, we outline our implementation of the hybrid IKBALS II Rule Based Reasoning / Case Based Reasoning system. It makes extensive use of an automated case representation editor and background information.

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ID Code: 70764
Item Type: Book Chapter
Additional Information: Third Congress of the Italian Association for Artificial Intelligence, AI*IA '93 Torino, Italy, October 26–28, 1993 Proceedings
DOI: 10.1007/3-540-57292-9_54
ISBN: 9783540480389
Divisions: Current > QUT Faculties and Divisions > Faculty of Law
Current > Schools > School of Law
Deposited On: 30 Apr 2014 02:57
Last Modified: 30 Apr 2014 04:31

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