Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4998)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): IWLCS: International Workshop on Learning Classifier Systems
Conference proceedings info: IWLCS 2006. IWLCS 2007.
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Table of contents (17 papers)
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Front Matter
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Mechanisms
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Back Matter
About this book
Editors and Affiliations
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University of Nottingham, School of Computer Science, ASAP research group, Jubilee Campus, Nottingham, NG8 1BB, and Multidisciplinary Centre for Integrative Biology, School of Biosciences, Sutton Bonington, LE12 5RD, UK
Jaume Bacardit
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Enginyeria i Arquitectura La Salle, Gruß de Recerca en Sistemes Intel.ligents, Quatre Camins 2, Universitat Ramon Llull, Barcelona, Spain
Ester Bernadó-Mansilla
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Department of Psychology, University of Würzburg, Würzburg, Germany
Martin V. Butz
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Department of Computer Science, University of Bristol, Bristol, UK
Tim Kovacs
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Department of Industrial and Enterprise Systems Engineering, Illinois Genetic Algorithms Lab (IlliGAL), University of Illinois at Urbana-Champaign, Urbana, USA
Xavier Llorà
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Tokyo Institute of Technology, tokyo, Japan
Keiki Takadama
Bibliographic Information
Book Title: Learning Classifier Systems
Book Subtitle: 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006, and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers
Editors: Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-88138-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-88137-7Published: 23 October 2008
eBook ISBN: 978-3-540-88138-4Published: 17 October 2008
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 307
Topics: Artificial Intelligence, Programming Techniques, Programming Languages, Compilers, Interpreters, Mathematical Logic and Formal Languages, Data Mining and Knowledge Discovery, Models and Principles