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Engineering - Computational Intelligence and Complexity | Foundations of Learning Classifier Systems

Foundations of Learning Classifier Systems

Bull, Larry, Kovacs, Tim (Eds.)

2005, VI, 336 p.

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  • About this book

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.

Content Level » Research

Keywords » Adaptation - Mathematica - algorithm - algorithms - calculus - classification - complexity - dynamics - evolution - evolutionary computation - genetic algorithms - knowledge - learning - machine learning - reinforcement learning

Related subjects » Applications - Artificial Intelligence - Computational Intelligence and Complexity - Systems Biology and Bioinformatics

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