Adaptation, Learning, and Optimization

Unified Computational Intelligence for Complex Systems

Authors: Seiffertt, John, Wunsch, Donald C.

  • First book presenting a computational intelligence architecture capable of learning in unsupervised, supervised, or reinforcement learning modes
  • First book covering applications of time scales mathematics to engineering applications
  • First book which ties these learning paradigms into all three levels of intelligence and provides applications to engineering, markets, and society
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eBook $159.00
price for USA (gross)
  • ISBN 978-3-642-03180-9
  • Digitally watermarked, DRM-free
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  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-3-642-03179-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-3-642-26395-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Computational intelligence encompasses a wide variety of techniques that allow computation to learn, to adapt, and to seek. That is, they may be designed to learn information without explicit programming regarding the nature of the content to be retained, they may be imbued with the functionality to adapt to maintain their course within a complex and unpredictably changing environment, and they may help us seek out truths about our own dynamics and lives through their inclusion in complex system modeling. These capabilities place our ability to compute in a category apart from our ability to erect suspension bridges, although both are products of technological advancement and reflect an increased understanding of our world. In this book, we show how to unify aspects of learning and adaptation within the computational intelligence framework. While a number of algorithms exist that fall under the umbrella of computational intelligence, with new ones added every year, all of them focus on the capabilities of learning, adapting, and helping us seek. So, the term unified computational intelligence relates not to the individual algorithms but to the underlying goals driving them. This book focuses on the computational intelligence areas of neural networks and dynamic programming, showing how to unify aspects of these areas to create new, more powerful, computational intelligence architectures to apply to new problem domains.

Table of contents (7 chapters)

  • Introduction

    Seiffertt, John (et al.)

    Pages 1-17

  • The Unified Art Architecture

    Seiffertt, John (et al.)

    Pages 19-32

  • An Application of Unified Computational Intelligence

    Seiffertt, John (et al.)

    Pages 33-48

  • The Time Scales Calculus

    Seiffertt, John (et al.)

    Pages 49-60

  • Approximate Dynamic Programming on Time Scales

    Seiffertt, John (et al.)

    Pages 61-76

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-3-642-03180-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-3-642-03179-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-3-642-26395-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Unified Computational Intelligence for Complex Systems
Authors
Series Title
Adaptation, Learning, and Optimization
Series Volume
6
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-03180-9
DOI
10.1007/978-3-642-03180-9
Hardcover ISBN
978-3-642-03179-3
Softcover ISBN
978-3-642-26395-8
Series ISSN
1867-4534
Edition Number
1
Number of Pages
150
Number of Illustrations and Tables
9 illustrations in colour
Topics