ACM Home Page
Please provide us with feedback. Feedback
The split-up system: integrating neural networks and rule-based reasoning in the legal domain
Full text PdfPdf (757 KB)
Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 5th international conference on Artificial intelligence and law table of contents
College Park, Maryland, United States
Pages: 185 - 194  
Year of Publication: 1995
ISBN:0-89791-758-8
Authors
John Zeleznikow  Collaborative Law and Artificial Intelligence Research Project, Database Research Laboratory, Applied Computing, Research Institute, La Trobe University, Bundoora, Victoria, Australia 3083
Andrew Stranieri  Collaborative Law and Artificial Intelligence Research Project, Database Research Laboratory, Applied Computing, Research Institute, La Trobe University, Bundoora, Victoria, Australia 3083
Sponsors
IAAIL : Intl Asso for Artifical Intel & Law
UMIACS : U of MD Inst for Advanced Comp Studies
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 22,   Citation Count: 14
Additional Information:

references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/222092.222235
What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bench-Capon, T.J.M., Lowes, D., and McEnery, A.M., 1991. Argument-based explanation of logic programs Knowledge Based Systems. Vol 4(3) p 177-84.
2
 
3
Boyle, J.D.A. 1985. The politics of reason: Critical legal theory and social thought. University of Pennsylvania Law Review. Vol. 133. p685-780.
 
4
 
5
Branting, K., 1994. A Computational Model of Ratio Decidendi. Artificial Intelligence & Law Vol 2 p 1-31.
 
6
Clark, P., 1991. A Model of Argumentation and Its Application in a Cooperative Expert System. PhD thesis. Turing Institute. Department of Computer Science. University of Strathclyde. Glasgow.
7
 
8
 
9
Dworkin, R. M., 1967. The Model of Rules. University of Chicago Law Review, Vol 35. p14-46.
 
10
Edwards, L., and Huntley, J.A.K., 1992. Creating a Civil Jurisdiction Adviser. Law, Computers and Artificial Intelligence. Vol 1 (1). p5-40.
 
11
Fahlman, S. E., 1988. Faster learning variations on back propagation: An empirical study, in Touretzkey, D.S., Hinton,G.E., and Sejmowlski,T.J., (eds) Proceedings of the 1988 Conference of Connectionist Models Summer School. Morgan Kaufman. San Mateo. p38-51.
12
 
13
Harris, T., Maclntyre, J., Smith, P., and Medskar, L., 1994. Neural Networks and Expert Systems: Complimentary Technologies that Can Work Together. in Milne, R., and Montgomery, A. (eds) Applications and Innovations in Expert Systems H. Proceedings of Expert Systems 94. Cambridge. SGES Publications. p 249-259.
 
14
Hunter, D., 1994. Looking for law in all the wrong places: legal theory and legal neural networks in Prakken, H., Muntjewerf, F.F., Soeteman, A.J, and Winkels, R. (eds) Legal Knowledge Based Systems: the relation with legal theory. Lelystad: Vermande. p 55-64.
 
15
 
16
Kennedy, D. 1986. Freedom and constraint in adjudication: A critical phenomenology. Journal of Legal Education. Vol. 36. p518-562.
 
17
Leith, P., 1992. The problem with law in books and law,in computers: the oral nature of law. Artificial Intelligence Review Vol 6 p227-241.
 
18
Liang, T. P. and Moskowitz, H., 1992. Integrating Neural Networks and Semi-Markov Processes for Automated Knowledge Acquisition: an application in real time scheduling. Decision Sciences. Vol 23. p 1298-1321.
19
 
20
Straniefi, A. and Zeleznikow, J., 1992, SPLIT-UP: A system to determine spousal property distribution on litigation in the Family Court of Australia, in Proceedings of the Fifth Australian Artificial Intelligence Conference., Hobart: World Scientific. p51-56.
 
21
Stranieri, A., Gawler, M. and Zeleznikow, J., 1994, Toulmin Structures as a Higher Level Abstraction for Hybrid Reasoning, Proceedings of the Seventh Australian Artificial Intelligence Congress AI'94. Armidale. World Scientific. Singapore. p203-210.
 
22
Toulmin, S., 1958. The uses of argument. Cambridge. Cambridge University Press.
 
23
 
24
 
25
Zeleznikow, J. and Hunter, D. 1994. Building Intelligent Legal Information Systems, Deventer: Kluwer Law and Taxation.

CITED BY  14

Collaborative Colleagues:
John Zeleznikow: colleagues
Andrew Stranieri: colleagues