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Abstract: This paper surveys progress in the simulation of evolutionary learning and characterises some of the mechanisms that have been abstracted. In nature, mechanisms have evolved that permit increasingly rapid and complex adaptations to the environment. We observe that evolutionary learning systems are adopting these mechanisms to tackle harder and harder learning problems. Extrapolating this trend, we indicate an interesting new direction for future work on evolutionary learning systems. (Update)
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BibTeX entry: (Update)
@misc{ reiser-computational,
author = "Philip G.K. Reiser",
title = "Computational Models of Evolutionary Learning",
url = "citeseer.ist.psu.edu/694196.html" }
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7 Some effects of selection procedures on hyperplane sampling .. (context) - Schaffer - 1987
5 Evolution of high mutation rates in experimental populations.. (context) - Sniegowski, Gerrish et al. - 1997
3 EVIL1: a learning system to evolve logical theories (context) - Reiser - 1997
3 Arguments on Evolution: A Paleontologist's Perspective (context) - Hoffman - 1989
3 The tinkerer's evolving toolbox (context) - Moxon, Thaler - 1997
3 Evolutionary design of neural architectures -- a preliminary.. (context) - Balakrishnan, Honovar - 1995
2 The Mechanical Man: The Physical Basis of Intelligent Life (context) - Wooldridge - 1968
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2 The evolutionary process (context) - Huxley - 1963
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2 the Organisation of the Intellect (context) - Fogel - 1964
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