Foundations of Learning Classifier Systems
Foundations of Learning Classifier Systems
Summary
This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning.
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Foundations of Learning Classifier Systems by Larry Bull
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.Larry Bull is Professor of artificial intelligence at the University of the West of England (UWE), Bristol, UK. His main research interest is evolution, the computational modelling of natural systems and its use in artificial systems. He has published widely in areas such as artificial life, evolutionary computing, and unconventional computing. Prof Bull was the Founding Editor-in-Chief for the Springer journal Evolutionary Intelligence and has edited a number of books on evolutionary reinforcement learning.
| SKU | Unavailable |
| ISBN 13 | 9783540250739 |
| ISBN 10 | 3540250735 |
| Title | Foundations of Learning Classifier Systems |
| Author | Larry Bull |
| Series | Studies In Fuzziness And Soft Computing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer |
| Year published | 2005-07-22 |
| Number of pages | 336 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |