Robust Intelligent Systems

  • Alfons Schuster

Table of contents

  1. Front Matter
    Pages I-XI
  2. Robustness in Computer Hardware, Software, Networks, and Protocols

    1. Front Matter
      Pages 1-1
    2. Roger Woods, Gaye Lightbody
      Pages 3-21
    3. Rosa Laura Zavala Gutierrez, Michael Huhns
      Pages 23-41
    4. David Bustard, Roy Sterritt
      Pages 43-60
  3. Robustness in Biology Inspired Systems

    1. Front Matter
      Pages 87-87
    2. Julie Greensmith, Uwe Aickelin, Steve Cayzer
      Pages 89-112
    3. Bernhard Graimann, Brendan Allison, Christian Mandel, Thorsten Lüth, Diana Valbuena, Axel Gräser
      Pages 113-138
    4. Andreas Nägele, Mathäus Dejori, Martin Stetter
      Pages 139-161
  4. Robustness in Artificial Intelligence Systems

    1. Front Matter
      Pages 163-163
    2. Francesco Nori, Giorgio Metta, Giulio Sandini
      Pages 209-229
  5. Robustness in Space Applications

    1. Front Matter
      Pages 231-231
    2. Olaf Maibaum, Sergio Montenegro, Thomas Terzibaschian
      Pages 232-248
    3. Martin Fuchs, Daniela Girimonte, Dario Izzo, Arnold Neumaier
      Pages 251-271
    4. Jordi Duatis, Cecilio Angulo, Vicenç Puig, Pere Ponsa
      Pages 273-295
  6. Back Matter
    Pages 297-299

About this book


Robustness is an intriguing phenomenon in many complex intelligent systems, natural and artificial alike. This book investigates the relevance of robustness in a modern intelligent computing context, where many systems take inspiration from fundamental problem-solving strategies found in nature such as redundancy, granularity, adaptation, repair, and self-healing for creating robust systems. The book explores the value these strategies may have as general design principles in a diverse range of areas including the computer technology underlying many intelligent systems, and also systems and applications inspired by biology, artificial intelligence, and intelligent space exploration. The topics covered include computer hardware and software, networks and protocols, brain-computer interfaces, biological networks and immune systems, humanoid robotics, image processing, artificial neural networks, genetic algorithms, chaos theory, and other soft computing techniques, as well as space system design and bio-regenerative life support systems.

As modern information technology and modern computing are integral to many areas of human life and are used in increasingly more sophisticated and challenging ways, by looking at the relevance and importance of robustness as found in nature as a design principle for intelligent systems, this book provides a unique resource for practitioners in a wide variety of fields.


Bayesian network algorithms artificial intelligence artificial intelligence system bioinformatics control humanoid robot image processing intelligence intelligent systems learning network neuroinformatics robot robotics

Editors and affiliations

  • Alfons Schuster
    • 1
  1. 1.School of Computing and MathematicsUniversity of Ulster at JordanstownJordanstownNorthern Ireland, UK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London 2008
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84800-260-9
  • Online ISBN 978-1-84800-261-6
  • Buy this book on publisher's site
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