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Challenges for Computational Intelligence

  • Book
  • © 2007

Overview

Editors:
  1. Włodzisław Duch

    1. Department of Informatics, Nicolaus Copernicus University, Torun, Poland
      Division of Computer Science, School of Computer Engineering, Nanyang Technological University, Singapore

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    You can also search for this editor in PubMed   Google Scholar

  2. Jacek Mańdziuk

    1. Faculty of Mathematics and Information Sciences, Warsaw University of Technology, Warsaw, Poland

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    You can also search for this editor in PubMed   Google Scholar

  • Fascinating book presenting the latest challenges in computational intelligence
  • Includes various contributions from world leading researchers in computational intelligence

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

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About this book

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.

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Table of contents (17 chapters)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. What Is Computational Intelligence and Where Is It Going?

    • Włodzisław Duch
    Pages 1-13

  3. New Millennium AI and the Convergence of History

    • Jürgen Schmidhuber
    Pages 15-35

  4. The Challenges of Building Computational Cognitive Architectures

    • Ron Sun
    Pages 37-60

  5. Programming a Parallel Computer: The Ersatz Brain Project

    • James A. Anderson, Paul Allopenna, Gerald S. Guralnik, David Sheinberg, John A. Santini Jr., Socrates Dimitriadis et al.
    Pages 61-98

  6. The Human Brain as a Hierarchical Intelligent Control System

    • JG Taylor
    Pages 99-122

  7. Artificial Brain and OfficeMate TR based on Brain Information Processing Mechanism

    • Soo-Young Lee
    Pages 123-143

  8. Natural Intelligence and Artificial Intelligence: Bridging the Gap between Neurons and Neuro-Imaging to Understand Intelligent Behaviour

    • Stan Gielen
    Pages 145-161

  9. Computational Scene Analysis

    • DeLiang Wang
    Pages 163-191

  10. Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities

    • Nikola Kasabov
    Pages 193-219

  11. The Science of Pattern Recognition. Achievements and Perspectives

    • Robert P. W. Duin, Elżbieta Pekalska
    Pages 221-259

  12. Towards Comprehensive Foundations of Computational Intelligence

    • Włodzisław Duch
    Pages 261-316

  13. Knowledge-Based Clustering in Computational Intelligence

    • Witold Pedrycz
    Pages 317-341

  14. Generalization in Learning from Examples

    • Věra Kůrková
    Pages 343-363

  15. A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective

    • Lei Xu
    Pages 365-406

  16. Computational Intelligence in Mind Games

    • Jacek Mańdziuk
    Pages 407-442

  17. Computer Go: A Grand Challenge to AI

    • Xindi Cai, Donald C. Wunsch II
    Pages 443-465

  18. Noisy Chaotic Neural Networks for Combinatorial Optimization

    • Lipo Wang, Haixiang Shi
    Pages 467-487
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Editors and Affiliations

  • Department of Informatics, Nicolaus Copernicus University, Torun, Poland

    Włodzisław Duch

  • Division of Computer Science, School of Computer Engineering, Nanyang Technological University, Singapore

    Włodzisław Duch

  • Faculty of Mathematics and Information Sciences, Warsaw University of Technology, Warsaw, Poland

    Jacek Mańdziuk

Bibliographic Information

  • Book Title: Challenges for Computational Intelligence

  • Editors: Włodzisław Duch, Jacek Mańdziuk

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-71984-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Hardcover ISBN: 978-3-540-71983-0Published: 26 June 2007

  • Softcover ISBN: 978-3-642-09116-2Published: 30 November 2010

  • eBook ISBN: 978-3-540-71984-7Published: 31 May 2007

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 487

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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