{
"item_title" : "Foundations of Learning Classifier Systems",
"item_author" : [" Larry Bull", "Tim Kovacs "],
"item_description" : "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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Overview
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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Details
- ISBN-13: 9783540250739
- ISBN-10: 3540250735
- Publisher: Springer
- Publish Date: July 2005
- Dimensions: 9.21 x 6.14 x 0.81 inches
- Shipping Weight: 1.45 pounds
- Page Count: 336
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