Developing Co-operating Legal Knowledge Based Systems


Autoria(s): Vossos, George; Zeleznikow, John; Hunter, Daniel
Contribuinte(s)

Torasso, Pietro

Data(s)

1993

Resumo

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.

Identificador

http://eprints.qut.edu.au/70764/

Publicador

Springer Berlin Heidelberg

Relação

DOI:10.1007/3-540-57292-9_54

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.

Fonte

Faculty of Law; School of Law

Tipo

Book Chapter