Challenges for Computational Intelligence

  • Włodzisław Duch
  • Jacek Mańdziuk

Part of the Studies in Computational Intelligence book series (SCI, volume 63)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Jürgen Schmidhuber
    Pages 15-35
  3. James A. Anderson, Paul Allopenna, Gerald S. Guralnik, David Sheinberg, John A. Santini Jr., Socrates Dimitriadis et al.
    Pages 61-98
  4. DeLiang Wang
    Pages 163-191
  5. Robert P. W. Duin, Elżbieta Pekalska
    Pages 221-259
  6. Věra Kůrková
    Pages 343-363
  7. Jacek Mańdziuk
    Pages 407-442
  8. Xindi Cai, Donald C. Wunsch II
    Pages 443-465
  9. Lipo Wang, Haixiang Shi
    Pages 467-487

About this book

Introduction

In the year 1900 at the International Congress of Mathematicians in Paris David Hilbert delivered what is now considered the most important talk ever given in the history of mathematics, proposing 23 major problems worth working at in the future. One hundred years later the impact of this talk is still strong: some problems have been solved, new problems have been added, but the direction once set -- identify the most important problems and focus on them
-- is still actual.

Computational Intelligence (CI) is used as a name to cover many existing branches of science, with artificial neural networks, fuzzy systems and evolutionary computation forming its core. In recent years CI has been extended by adding many other subdisciplines and it became quite obvious that this new field also requires a series of challenging problems that will give it a sense of direction. Without setting up clear goals and yardsticks to measure progress on the way many research efforts are wasted.

The book written by top experts in CI provides such clear directions and the much-needed focus on the most important and challenging research issues, showing a roadmap how to achieve ambitious goals.

Keywords

Statistica artificial intelligence behavior calculus cognition combinatorial optimization computational intelligence control intelligence learning model neural networks optimization pattern recognition programming

Editors and affiliations

  • Włodzisław Duch
    • 1
    • 2
  • Jacek Mańdziuk
    • 3
  1. 1.Department of InformaticsNicolaus Copernicus UniversityTorunPoland
  2. 2.Division of Computer Science, School of Computer EngineeringNanyang Technological UniversitySingapore
  3. 3.Faculty of Mathematics and Information SciencesWarsaw University of TechnologyWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-71984-7
  • Copyright Information Springer Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-71983-0
  • Online ISBN 978-3-540-71984-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book