Using genetic algorithms to inductively reason with cases in the legal domain

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Using genetic algorithms to inductively reason with cases in the legal domain

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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: 175 - 184

Year of Publication: 1995

ISBN:0-89791-758-8

Author

Anandeep S. Pannu

Intelligent Systems Program, University of Pittsburgh

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): 2, Downloads (12 Months): 11, Citation Count: 3

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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	Vincent Aleven , Kevin D. Ashley, Automated Generation of Examples for a Tutorial in Case-Based Argumentation, Proceedings of the Second International Conference on Intelligent Tutoring Systems, p.475-584, June 10-12, 1992
	2	Kevin D. Ashley, Modeling Legal Arguments: Reasoning with Cases and Hypotheticals, MIT Press, Cambridge, MA, 1991
	3	Ashley, K. D. (1992). Case-Based Reasoning and its implications for Legal Expert Systems. Artificial Intelligence and Law:l pp. 113-208. Kiuwer Academic Publishers, Netherlands.
	4	Ashley, K. D. & Rissland, E. L. (1988). Waiting on Weighting: A symbolic least commitment apw proach. Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI-88). St. Paul, MN.
	5	Avron Barr , Edward A. Feigenbaum , Paul R. Cohen, Handbook of AI, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1986
	6	Clark, G. (1994). Visualisation of Genetic Algorithms. Technical Report EPCC-SSgd-07. Edinburgh ParaJlel Computing Center. University of Edinburgh. Edinburgh, UK.
	7	Scott Cost , Steven Salzberg, A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features, Machine Learning, v.10 n.1, p.57-78, Jan. 1993 [doi>10.1023/A:1022664626993]
	8	DeJong, K & Spears, W. M. (1991). Learning Concept Classification Rules using Genetic Algorithm. 'Proceedings, l~th International Joint Conference on Artificial Intelligence, 651-656. Sydney, Australia. IJCAI.
	9	Jude W. Shavlik , Thomas E. Deitterich , Thomas Dietterich, Readings in Machine Learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1991
	10	David E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1989
	11	John H. Holland, Adaptation in natural and artificial systems, MIT Press, Cambridge, MA, 1992
	12	John H. Holland , Keith J. Holyoak , Richard E. Nisbett , Paul R. Thagard, Induction: processes of inference, learning, and discovery, MIT Press, Cambridge, MA, 1986
	13	Kelly, J. & Davis, L. 1991. Hybridizing the Genetic Algorithm and the K Nearest Neighbors Classification AIgorithm. Proceedings of the d th International Conference on Genetic Algorithms and their Applications. Morgan Kaufmann:CA.
	14	Kibler, D. &r Aha, D. W. (1987). Learning Representative examples of concepts: An initiM case study. Proceedings of the Fourth International Workshop on Machine Learning (pp. 24-30). Morgan Kau~mann, Irvine, CA.
	15	Louis, S., McGraw, G. & Wyckoff, R. 0. (1993). C~e-based reasoning assisted explanation of genetic algorithm results. Journal of Experimental and Theoretical Artificial Intelligence. 5. pp21-37. Taylor &: Francis.
	16	Popple, J. D. (1993). SHYSTER: A Pragmatic Legal Expert System. Ph. D thesis , Australian National University, Faculty of Engineering and Information Technology, Dept of Computer Science.
	17	William F. Punch, III , Erik D. Goodman , Min Pei , Lai Chia-Shun , Paul D. Hovland , Richard J. Enbody, Further Research on Feature Selection and Classification Using Genetic Algorithms, Proceedings of the 5th International Conference on Genetic Algorithms, p.557-564, June 01, 1993
	18	Whitley, D. & Shaner, D. (1988). Representation Issues in Genetic Algorithms. Technical Report C$- 88-102. Colorado State University, Fort Collins, CO.

CITED BY 3

	John Zeleznikow , Andrew Stranieri, Knowledge discovery in the Split Up project, Proceedings of the 6th international conference on Artificial intelligence and law, p.89-97, June 30-July 03, 1997, Melbourne, Australia
	Paul Thompson, Automatic categorization of case law, Proceedings of the 8th international conference on Artificial intelligence and law, p.70-77, May 2001, St. Louis, Missouri, United States
	Chao-Lin Liu , Cheng-Tsung Chang , Jim-How Ho, Classification and clustering for case-based criminal summary judgments, Proceedings of the 9th international conference on Artificial intelligence and law, June 24-28, 2003, Scotland, United Kingdom