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Abstract: Contents 1. Introduction 2. Neural Networks 3. The Genetic Algorithm 4. GenNets 5. Genetic Programming (GP) 6. Example 1 : "Pointer" 7. Example 2 : "Walker" 8. Example 3 : "LIZZY" 9. Discussion & Future Ideas 10. References 1. Introduction One of the author's interests is studying future computing technologies and then considering the conceptual problems they will pose. The major concern in this regard is called the "Complexity Problem", i.e. how will computer scientists over the next twenty... (Update)
Context of citations to this paper: More
...References 1. Introduction This article introduces the concept of Genetic Programming in a more general way than in earlier papers [2,3,4,5]. Genetic Programming (GP) is the application of the Genetic Algorithm [7,8] to the creation of systems which are too complex in their...
...Forrest, Stephanie, 109, 110] Frazer, L. N. 192] Freeman, L. M. 169, 170] Galarce, Carlos E. 114] Garis, Hugo de, [303, 304, 305, 306, 307, 308, 309, 310] Geary, R. A. 81] Gerys, D. 280] Glesner, M. 115] Goldberg, David E. 116, 117, 118, 119, 120, 121, 122,...
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BibTeX entry: (Update)
H. de Garis. Genetic programming: Building artificial nervous systems using genetically programmed neural network modules. In Proceedings of the Seventh International Conference on Machine Learning, pages 132--139, Austin, Texas, June 1990. http://citeseer.ist.psu.edu/degaris90genetic.html More
@inproceedings{ degaris90genetic,
author = "H. de Garis",
title = "Genetic programming: building artificial nervous systems using genetically programmed neural network modules",
booktitle = "Machine Learning: Proceedings of the Seventh International Conference",
month = "21-23",
publisher = "Morgan Kaufmann, Palo Alto, CA",
address = "Austin, TX",
editor = "B. W. Porter and R. J. Mooney",
pages = "132--139",
year = "1990",
url = "citeseer.ist.psu.edu/degaris90genetic.html" }
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