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Introduction to Learning Classifier Systems

This accessible introduction shows the reader how to understand, implement, adapt, and apply Learning Classifier Systems (LCSs) to interesting and difficult problems. The text builds an understanding from basic ideas and concepts. The authors first explore learning through environment interaction, a...

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Main Authors: Urbanowicz, Ryan J. (Author, http://id.loc.gov/vocabulary/relators/aut), Browne, Will N. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
Subjects:
Artificial intelligence.
Computational intelligence.
Mathematical optimization.
Bioinformatics.
Control engineering.
Robotics.
Mechatronics.
Computers.
Artificial Intelligence.
Computational Intelligence.
Optimization.
Computational Biology/Bioinformatics.
Control, Robotics, Mechatronics.
Theory of Computation.
Online Access:https://doi.org/10.1007/978-3-662-55007-6

Internet

https://doi.org/10.1007/978-3-662-55007-6

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