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A case-based system for trade secrets law
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Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 1st international conference on Artificial intelligence and law table of contents
Boston, Massachusetts, United States
Pages: 60 - 66  
Year of Publication: 1987
ISBN:0-89791-230-6
Authors
E. L. Rissland  Univ. of Massachusetts, Amherst, MA
K. D. Ashley  Univ. of Massachusetts, Amherst, MA
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 22,   Downloads (12 Months): 91,   Citation Count: 30
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ABSTRACT

In this paper, we give an overview of our case-based reasoning program, HYPO, which operates in the field of trade secret law. We discuss key ingredients of case-based reasoning, in general, and the correspondence of these to elements of HYPO. We conclude with an extended example of HYPO working through a hypothetical trade secrets case, patterned after an actual case.


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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Kevin D. Ashley and Edwina L. Rissland. Compare and Contrast, A Test of Expertise. In Proceedings of the Fifth National Conference on Artificial Intelligence, American Association for Artificial Intelligence, August 1987. Seattle.
 
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Kristian J. Hammond. Learning to Anticipate and Avoid Planning Problems through the Explanation of Failures. In Proceedings of the Fifth National Conference on Artificial intelligence, American Association for Artificial Intelligence, August 1986. Philadelphia, PA.
 
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S. Kedar-Cabelli. Analogy with Purpose in Legal Reasorting from Precedents A Dissertation Proposal. Technical Report LRP-TR-17, Laboratory for Computer Science Research, Rutgers University, 1984.
 
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Janet L. Kolodner, Robert L. Simpson, and Katia Sycara-Cyranshi. A Process Model of Case-Based Reasoning in Problem Solving. In Proceedings o! the Ninth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Inc., Los Angeles, CA, August 1985.
 
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T. S. Kuhn. The Structure ol Scientific Revolutions. U. Chicago, 1970.
 
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Edward H. Levi. An introduction to Legal Reasoning. University of Chicago Press, 1949.
 
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Jeffrey A. Meldman. A Structural Model for Computer- Aided Legal Analysis. Journal of Computers and the Law, 6:27-71, 1977.
 
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Edwina L. Rissland. Example Generation. Technical Report 81-24, Computer and Information Science Department, University of Massachusetts, Amherst, MA, 1981.
 
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F~lwina L. Rissland. Example Generation. In Third Biennial Conference off the Canadian Society jar Computational Studies of Intelligence, University of Victoria, Victoria, B.C., 1980.
 
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F~lwina L. Riasland. Ex&mples in Legal Reasoning: Legal Hypotheticais. In Proceedings o! tke Eighth international Joint Cor~fercnce on Artificial Inteftige~ce, International Joint Conferences on Artificial lntelllgence, Inc., Kaxlsruhe, Germany, August 1083.
 
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F_~wina L. Rissland and Kevin D. Ashley. HYPO: A Case-Based Reasoning System. Project Memo 18, The COUNSELOR Project, Department of Computer and Information Science, University of Massachusetts, 1087.
 
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Edwina L. Rissland and Kevin D. Ashley. Hypotheticals an Heuristic Device. In Procceding~ of the Fifth National Conference on Artificial Intelligence, American A~sociation for Artificial Intelligence, August 1986. Philadelphia, PA.
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D.A. Waterman and M. Peterson. Models of Legal Decisionmaking. Technical Report R-2717- ICJ, The Rand Corporation, Santa Monica, CA, 1981.

CITED BY  30

Collaborative Colleagues:
E. L. Rissland: colleagues
K. D. Ashley: colleagues