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.
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