Foundations of Learning Classifier Systems

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 computati...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bull, Larry (Editor ), Kovacs, Tim (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Studies in Fuzziness and Soft Computing, 183
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematics.
Bioinformatics.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Applications of Mathematics.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:VI, 336 p. online resource.
ISBN:9783540323969
ISSN:1860-0808 ;

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