Foundations of Learning Classifier Systems

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bull, Larry (Editor), Kovacs, Tim (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Studies in Fuzziness and Soft Computing, 183
• Subjects: Engineering.; Artificial intelligence.; Bioinformatics.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Applications of Mathematics.
• Physical Description: VI, 336 p. online resource.
• ISBN: 9783540323969
• ISSN: 1434-9922 ;

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.