Advances in Learning Classifier Systems (Paperback)

Pier L. Lanzi

ISBN 10: 3540437932 / ISBN 13: 9783540437932

Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2002

Beschreibung

Paperback. 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. These are the refereed post-proceedings of the 4th International Workshop on Learning Classifier Systems, IWLCS 2001. The first part is devoted to theoretical issues, and the second to applications in various fields such as data mining, stock trading, and power distribution networks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Bestandsnummer des Verkäufers 9783540437932

Bibliografische Details

• Titel: Advances in Learning Classifier Systems (Paperback)
• Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Erscheinungsjahr: 2002
• Sprache: Englisch
• ISBN-10: 3540437932
• ISBN-13: 9783540437932
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

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.