| A taxonomy for modelling discretionary decision making in the legal domain |
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International Conference on Artificial Intelligence and Law
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Proceedings of the 10th international conference on Artificial intelligence and law
table of contents
Bologna, Italy
SESSION: Reasoning about cases
table of contents
Pages: 60 - 64
Year of Publication: 2005
ISBN:1-59593-081-7
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Downloads (6 Weeks): 4, Downloads (12 Months): 24, Citation Count: 1
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ABSTRACT
In attempting to model how legal discretion is exercised, we have previously discussed the notion of open texture and introduced the notion of boundedness of legal domains. Through a series of case studies we have noticed that an important factor has been overlooked: namely whether the decisions made in a given domain are binary. We develop a set of three criteria for computer modeling of legal discretion and discuss the eight octants that arise from the three-dimensional space formed by these criteria.
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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Black, H. C. 1990. BLACKS Law Dictionary, West Publishing Company, St. Paul, Minnesota.
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Schild, U., J., Stranieri, A. and Zeleznikow, J. 1999. Techniques for reasoning in discretionary legal domains. IASTED (Law Tech1999), ACTA Press, Anaheim, California.
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Hart, H. L. A., 1961. The Concept of Law Clarendon Press. Oxford, UK.
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Stranieri, A., Zeleznikow, J., Gawler, M. and Lewis, B. 1999. A hybrid-neural approach to the automation of legal reasoning in the discretionary domain of family law in Australia. Artificial Intelligence and Law 7 (2--3): 153--183
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Fletcher, G. P. 1996. Basic Concepts of Legal Thought. Oxford University Press, New York, NY.
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Stranieri, A. and Zeleznikow, J. 2004. Knowledge Discovery from Legal Databases, Springer Law and Philosophy Library, Volume 69, Dordrecht, The Netherlands
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