Design and Analysis of Learning Classifier Systems: A Probabilistic Approach by Jan Drugowitsch

Design and Analysis of Learning Classifier Systems: A Probabilistic Approach

Jan Drugowitsch
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Details

  • ISBN
    9783540798651 / 354079865X
  • Title Design and Analysis of Learning Classifier Systems: A Probabilistic Approach
  • Author Jan Drugowitsch
  • Category Artificial Intelligence
  • Format
    Hardcover
  • Year 2008
  • Pages 268
  • Publisher
    Springer
  • Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Language English
  • Dimensions 156mm x 18mm x 234mm

Annotation

This book provides a comprehensive introduction to the design and analysis of Learning Classifier Systems (LCS) from the perspective of machine learning. It advances the analysis of existing LCS as well as puts forward the design of new LCS.

Publisher Description

This book provides a comprehensive introduction to the design and analysis of Learning Classifier Systems (LCS) from the perspective of machine learning. LCS are a family of methods for handling unsupervised learning, supervised learning and sequential decision tasks by decomposing larger problem spaces into easy-to-handle subproblems. Contrary to commonly approaching their design and analysis from the viewpoint of evolutionary computation, this book instead promotes a probabilistic model-based approach, based on their defining question "What is an LCS supposed to learn?". Systematically following this approach, it is shown how generic machine learning methods can be applied to design LCS algorithms from the first principles of their underlying probabilistic model, which is in this book - for illustrative purposes - closely related to the currently prominent XCS classifier system. The approach is holistic in the sense that the uniform goal-driven design metaphor essentially covers all aspects of LCS and puts them on a solid foundation, in addition to enabling the transfer of the theoretical foundation of the various applied machine learning methods onto LCS.
Thus, it does not only advance the analysis of existing LCS but also puts forward the design of new LCS within that same framework.

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Design and Analysis of Learning Classifier Systems: A Probabilistic Approach

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