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Learning classifier systems from a reinforcement learning perspective

✍ Scribed by P. L. Lanzi


Publisher
Springer
Year
2002
Tongue
English
Weight
206 KB
Volume
6
Category
Article
ISSN
1432-7643

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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