Advances in Learning Classifier Systems - Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000. Revised Papers (Paperback, 2001 ed.)

Learning classi er systems are rule-based systems that exploit evolutionary c- putation and reinforcement learning to solve di cult problems. They were - troduced in 1978 by John H. Holland, the father of genetic algorithms, and since then they have been applied to domains as diverse as autonomous robotics, trading agents, and data mining. At the Second International Workshop on Learning Classi er Systems (IWLCS 99), held July 13, 1999, in Orlando, Florida, active researchers reported on the then current state of learning classi er system research and highlighted some of the most promising research directions. The most interesting contri- tions to the meeting are included in the book Learning Classi er Systems: From Foundations to Applications, published as LNAI 1813 by Springer-Verlag. The following year, the Third International Workshop on Learning Classi er Systems (IWLCS 2000), held September 15{16 in Paris, gave participants the opportunity to discuss further advances in learning classi er systems. We have included in this volume revised and extended versions of thirteen of the papers presented at the workshop.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Artificial Intelligence, 1996
Release date:	2001
First published:	2001
Editors:	Pier L. Lanzi • Wolfgang Stolzmann • Stewart W. Wilson
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	280
Edition:	2001 ed.
ISBN-13:	978-3-540-42437-6
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-540-42437-7
Barcode:	9783540424376

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