Computational Intelligence: A Compendium

  • John Fulcher
  • L. C. Jain

Part of the Studies in Computational Intelligence book series (SCI, volume 115)

Table of contents

  1. Front Matter
    Pages I-XXXVI
  2. Overview, Background

  3. Preprocessing, Visualization, Systems Integration

  4. Artificial Intelligence

  5. Logic and Reasoning

  6. Ontology

    1. Toby H. W. Lam, Raymond S. T. Lee, James N. K. Liu
      Pages 381-406
  7. Intelligent Agents

    1. Russell K. Standish
      Pages 409-437
    2. Minjie Zhang, Jia Tang, John Fulcher
      Pages 439-483
    3. Mahendra Piraveenan, Mikhail Prokopenko, Peter Wang, Astrid Zeman
      Pages 485-515
  8. Fuzzy Systems

    1. Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
      Pages 641-685
  9. Artificial Neural Networks

    1. Xiuju Fu, Xiaorong Li, Lipo Wang, David Ong, Stephen John Turner
      Pages 689-714
    2. Steve Furber, Steve Temple
      Pages 763-796
  10. Evolutionary Approaches

    1. Md. Monirul Islam, Xin Yao
      Pages 851-880
    2. William B. Langdon, Riccardo Poli, Nicholas F. McPhee, John R. Koza
      Pages 927-1028
    3. Tim Hendtlass
      Pages 1029-1062
  11. DNA and Immunity-Based Computing

  12. Back Matter
    Pages 1121-1179

About this book


Computational Intelligence paradigms have proven effective on real-world problems in virtually all disciplines including Science, Engineering, Business, healthcare, Management and Avionics. This handbook includes contributions from the leading international experts in their respective fields. There are twenty five chapters grouped in the following ten parts covering theoretical aspects and practical applications:

* Overview
* Data pre-processing, system integration and visualization
* Artificial Intelligence
* Logic and reasoning
* Ontology
* Intelligent Agents
* Fuzzy Systems
* Artificial neural networks
* Evolutionary paradigms and systems
* DNA and immunity-based computing

The handbook will be of interest to the students, researchers, professors and practitioner in the area of computational intelligence paradigms and their applications.


agents artificial intelligence artificial neural network computational intelligence data mining evolution evolutionary algorithm fuzzy fuzzy system fuzzy systems intelligence modeling neural networks ontology visualization

Editors and affiliations

  • John Fulcher
    • 1
  • L. C. Jain
    • 2
  1. 1.School of Computer Science and Software Engineering Faculty of InformaticsUniversity of WollongongWollongongAustralia
  2. 2.Knowledge-Based Engineering Founding Director of the KES CentreUniversity of South AustraliaAdelaideAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-78292-6
  • Online ISBN 978-3-540-78293-3
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site
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