Discovering graphic analogies through the use of genetic algorithms
Pages 144 - 147
Abstract
Researchers have studied graphic analogies from a wide range of disciplines and have perceived them in different ways. However, to represent analogy-making in computer simulations was not sought after until 1968 by a programmer by the name of Thomas Evans. His implementation was more or less a traditional way of viewing analogy-making decisions. The goal of my research is to first introduce an algorithm called Genetic Algorithm (GA) and from there give insight on how I went about developing a system that uses a GA to solve the analogy-making problem.
References
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Booker, L. B., Goldberg, D. E., and Holland, J. H. Classifier Systems and Genetic Algorithms. Artificial Intelligence, 1989, p. 235--282.
[2]
Clocksin, W. F. and Mellish, C. S. Programming in Prolog. 1994.Springer-Verlag Berlin Heidelberg.
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French, Robert M. The Subtlety of Sameness. 1995. MIT Press.
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Goldberg, David E. Genetic Algorithms In Search, Optimization, and Machine Learning. 1989. Addison-Wesley Publishing Inc.
[5]
Holland, John. Genetic Algorithms. Scientific American. July 1992. p. 66--72.
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Websters New World College Dictionary, 3rd Ed. 1996. Simon and Schuster, Inc.
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Zbigniew, Michalewicz. Genetic Algorithms + Data Structures = Evolutionary Programs. c 1992. Springer-Verlag.
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Published In
April 1997
314 pages
ISBN:0897919254
DOI:10.1145/2817460
- Conference Chair:
- Tom Cheatham,
- Program Chairs:
- Chrisila Pettey,
- Larry Dowdy,
- Jungsoon Yoo
Copyright © 1997 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 02 April 1997
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