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Foundations of Learning Classifier Systems

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Foundations of Learning Classifier Systems Synopsis

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.

About This Edition

ISBN: 9783642064135
Publication date: 25th November 2010
Author: Larry Bull, Tim Kovacs
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 336 pages
Series: Studies in Fuzziness and Soft Computing
Genres: Maths for engineers
Computational biology / bioinformatics
Applied mathematics
Artificial intelligence