On modeling creativity in legal reasoning

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On modeling creativity in legal reasoning

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International Conference on Artificial Intelligence and Law archive
Proceedings of the 6th international conference on Artificial intelligence and law table of contents

Melbourne, Australia

Pages: 180 - 189

Year of Publication: 1997

ISBN:0-89791-924-6

Author

Bipin Indurkhya

Department of Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei, Tokyo 184, Japan

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
IAAIL : Intl Asso for Artifical Intel & Law
UMIACS : U of MD Inst for Advanced Comp Studies
University of Melbourne : University of Melbourne

Publisher

ACM New York, NY, USA

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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.

	1	Kevin D. Ashley, Modeling Legal Arguments: Reasoning with Cases and Hypotheticals, MIT Press, Cambridge, MA, 1991
	2	Bench-Capon, T.J.M., and Coenen, F.P. (1992). Isomorphism and Legal Knowledge Based Systems. Artificial Intelligence and Law 1, pp. 65-86.
	3	Branting, L.K. (1993). A Computational Model of Ratio Decidendi. Artificial Intelligence and Law 2, pp. 1-32.
	4	Lee D. Erman , Frederick Hayes-Roth , Victor R. Lesser , D. Raj Reddy, The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty, ACM Computing Surveys (CSUR), v.12 n.2, p.213-253, June 1980 [doi>10.1145/356810.356816]
	5	Hage, J. (1996). A Theory of Legal Reasoning and a Logic to Match. Artificial intelligence and Law d, PP- 199-273.
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	7	Douglas Hofstadter , Corporate Fluid Analogies Research Group, Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought, Basic Books, Inc., New York, NY, 1995
	8	Indurkhya, B. (1992). Metaphor and Cognition: An interactionist Approach. Kluwer Academic Publishers, Dordrecht, The Netherlands.
	9	Indurkhya, B. (1997). Metaphor as Change of Representation: An Artificial Intelligence Perspective. Journal of E~erimental and Theoretical Artificial Intelligence 9, pp. 1-36.
	10	Penny Nii, The blackboard model of problem solving, AI Magazine, v.7 n.2, p.38-53, Summer 1986
	11	Daniel Poulin , Paul Bratley , Jacques Frémont , Ejan Mackaay, Legal interpretation in expert systems, Proceedings of the 4th international conference on Artificial intelligence and law, p.90-99, June 15-18, 1993, Amsterdam, The Netherlands [doi>10.1145/158976.158988]
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	13	Rissland, E.L., Skalak, D.B., and Pdedman, M.T. (1996). BankXX: Supporting Legal Arguments through Heuristic Retrieval. Artificial Intelligence and Law ,~, pp. 1-71.
	14	Routen, T. (1996). On Isomorphic Formalizations. Artificial Intelligence and Law d, PP. 113-132.
	15	Pierre St-Vincent , Daniel Poulin , Paul Bratley, A computational framework for dialectical reasoning, Proceedings of the 5th international conference on Artificial intelligence and law, p.137-145, May 21-24, 1995, College Park, Maryland, United States [doi>10.1145/222092.222224]
	16	Twining, W., and Miers, D. (1982). How To Do Things With Rules: A Primer of Interpretation. (2nd ed.), Weidenfeld and Nicolson, London.