Foundations of Learning Classifier Systems (Hardcover, 2005 ed.)


This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.


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Product Description

This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Studies in Fuzziness and Soft Computing, 183

Release date

July 2005

Availability

Expected to ship within 12 - 17 working days

First published

2005

Editors

,

Dimensions

235 x 155 x 20mm (L x W x T)

Format

Hardcover

Pages

336

Edition

2005 ed.

ISBN-13

978-3-540-25073-9

Barcode

9783540250739

Categories

LSN

3-540-25073-5



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