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Anticipatory Learning Classifier Systems

Author: Martin V Butz
Publisher: Boston, MA : Springer US : Imprint : Springer, 2002.
Series: Genetic algorithms and evolutionary computation, 4.
Edition/Format:   eBook : Bibliographic data : EnglishView all editions and formats
Summary:
Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory adaptive behavior. Anticipatory Learning Classifier Systems  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Bibliographic data, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Martin V Butz
ISBN: 9781461508915 1461508916 9781461352907 1461352908
OCLC Number: 840283537
Description: 1 online resource (200 pages).
Contents: List of Figures. List of Tables. Foreword. Preface. Acknowledgments. 1. Background. 2. ACS2. 3. Experiments with ACS2. 4. Limits. 5. Model Exploitation. 6. Related Systems. 7. Summary, Conclusions, and Future Work. Appendices. Appendix A: Parameters in ACS2. Appendix B: Algorithmic Description of ACS2. Appendix C: ACS2 C++ Documentation. Appendix D: Glossary. References. Index.
Series Title: Genetic algorithms and evolutionary computation, 4.
Responsibility: by Martin V. Butz.

Abstract:

Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental  Read more...

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