Advances in Learning Classifier Systems

Advances in Learning Classifier Systems
Author :
Publisher : Springer
Total Pages : 232
Release :
ISBN-10 : 9783540481041
ISBN-13 : 3540481044
Rating : 4/5 (41 Downloads)

Book Synopsis Advances in Learning Classifier Systems by : Pier L. Lanzi

Download or read book Advances in Learning Classifier Systems written by Pier L. Lanzi and published by Springer. This book was released on 2003-08-01 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Learning Classifier Systems, IWLCS 2001, held in San Francisco, CA, USA, in July 2001. The 12 revised full papers presented together with a special paper on a formal description of ACS have gone through two rounds of reviewing and improvement. The first part of the book is devoted to theoretical issues of learning classifier systems including the influence of exploration strategy, self-adaptive classifier systems, and the use of classifier systems for social simulation. The second part is devoted to applications in various fields such as data mining, stock trading, and power distributionn networks.


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