| The split-up system: integrating neural networks and rule-based reasoning in the legal domain |
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International Conference on Artificial Intelligence and Law
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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
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Authors
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John Zeleznikow
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Collaborative Law and Artificial Intelligence Research Project, Database Research Laboratory, Applied Computing, Research Institute, La Trobe University, Bundoora, Victoria, Australia 3083
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Andrew Stranieri
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Collaborative Law and Artificial Intelligence Research Project, Database Research Laboratory, Applied Computing, Research Institute, La Trobe University, Bundoora, Victoria, Australia 3083
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Downloads (6 Weeks): 4, Downloads (12 Months): 22, Citation Count: 14
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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.
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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.
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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.
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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.
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Kennedy, D. 1986. Freedom and constraint in adjudication: A critical phenomenology. Journal of Legal Education. Vol. 36. p518-562.
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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.
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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.
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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.
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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.
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Toulmin, S., 1958. The uses of argument. Cambridge. Cambridge University Press.
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Zeleznikow, J. and Hunter, D. 1994. Building Intelligent Legal Information Systems, Deventer: Kluwer Law and Taxation.
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CITED BY 14
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L. Karl Branting , Charles B. Callaway , Bradford W. Mott , James C. Lester, Integrating discourse and domain knowledge for document drafting, Proceedings of the 7th international conference on Artificial intelligence and law, p.214-220, June 14-17, 1999, Oslo, Norway
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