Quasi-Darwinian Learning in a Classifier System

作者: STEWART W. WILSON

DOI: 10.1016/B978-0-934613-41-5.50010-6

关键词: DarwinismMargin classifierArtificial intelligenceMachine learningComputer scienceLearning classifier systemClassifier (UML)

摘要: Classifier systems (Holland, 1986) have a distinct Darwinian flavor, and in this respect contrast sharply with most other learning systems. In paper we bring out various aspects of the contrast, provide an example classifier system which illustrates its quasi-Darwinian operation.

参考文章(5)
Barto Ag, Learning by statistical cooperation of self-interested neuron-like computing elements. Human neurobiology. ,vol. 4, pp. 229- 256 ,(1985)
Tom M Mitchell, None, Generalization as search Artificial Intelligence. ,vol. 18, pp. 203- 226 ,(1982) , 10.1016/0004-3702(82)90040-6
Stewart W. Wilson, Classifier Systems and the Animat Problem Machine Learning. ,vol. 2, pp. 199- 228 ,(1987) , 10.1023/A:1022655214215
J. H. Holland, Escaping Brittleness: The Possibilities of General-Purpose Learning Algorithms Applied to Parallel Rule-Based Systems Machine Learning: An Artificial Intelligence Approach. ,vol. 2, pp. 593- 623 ,(1986)