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Imitation guided learning in learning classifier systems

✍ Scribed by Marc Métivier; Claude Lattaud


Publisher
Springer Netherlands
Year
2007
Tongue
English
Weight
591 KB
Volume
8
Category
Article
ISSN
1567-7818

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Rules are an accepted means of representing knowledge for virtually every domain. Traditional machine learning methods derive rules by exploring sets of examples using statistical or information theoretic techniques. Alternatively, rules can be discovered through methods of Evolutionary Computation