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Self-Evolvable Systems

Machine Learning in Social Media

  • Octavian Iordache

Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
    Pages 1-18
  2. Octavian Iordache
    Pages 1-13
  3. Octavian Iordache
    Pages 15-29
  4. Octavian Iordache
    Pages 31-53
  5. Octavian Iordache
    Pages 55-63
  6. Octavian Iordache
    Pages 101-134
  7. Octavian Iordache
    Pages 135-156
  8. Octavian Iordache
    Pages 157-174
  9. Octavian Iordache
    Pages 175-192
  10. Octavian Iordache
    Pages 193-216
  11. Octavian Iordache
    Pages 217-238
  12. Octavian Iordache
    Pages 239-258
  13. Back Matter
    Pages 0--1

About this book

Introduction

This monograph presents key method to successfully manage the growing  complexity of systems  where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are nowadays required. The transition from adaptable to evolvable and finally to self-evolvable systems is highlighted, self-properties such as self-organization, self-configuration, and self-repairing are introduced and challenges and limitations of the self-evolvable engineering systems are evaluated.

Keywords

Complexity Self-Evolvability Self-Evolvable Systems

Authors and affiliations

  • Octavian Iordache
    • 1
  1. 1.PolystochasticMontrealCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-28882-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-642-28881-4
  • Online ISBN 978-3-642-28882-1
  • Series Print ISSN 1860-0832
  • Series Online ISSN 1860-0840
  • Buy this book on publisher's site
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