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. "Foundations of Learning Classifier Systems" combines and exploits many Soft Computing approaches into a...

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Weitere Verfasser:	Bull, Larry (HerausgeberIn), Kovacs, Tim (BerichterstatterIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Berlin, Heidelberg, New York Springer 2005
Schriftenreihe:	Studies in fuzziness and soft computing 183
Schlagworte:	Machine learning > Genetic algorithms > Reinforcement learning > Aufsatzsammlung > Automatische Klassifikation > Lernendes System > Bestärkendes Lernen > Genetischer Algorithmus > Maschinelles Lernen > Soft Computing
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Beschreibung
Zusammenfassung:	This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. "Foundations of Learning Classifier Systems" combines and exploits many Soft Computing approaches into a single coherent framework. 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
Beschreibung:	Literaturangaben
Beschreibung:	VI, 336 S graph. Darst 24 cm
ISBN:	3540250735 3-540-25073-5 9783540250739 978-3-540-25073-9