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Computational Intelligence: An Introduction

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Computational Intelligence and Quantitative Software Engineering

Part of the book series: Studies in Computational Intelligence ((SCI,volume 617))

Abstract

The study offers an introduction to the paradigm, concepts and algorithms of Computational Intelligence (CI). We elaborate on the main technologies of CI: neural networks, fuzzy sets or Granular Computing, in general, and evolutionary optimization and identify their focal points and stress an overall synergistic character of these technologies, which ultimately gives rise to the highly symbiotic processing environment. Furthermore, the main advantages and limitations of the CI technologies are discussed. The key linkages of CI with the area of Software Engineering, especially its quantitative facet, are stressed.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6R 2V4, Canada

    Witold Pedrycz

  2. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, 21589, Saudi Arabia

    Witold Pedrycz

  3. Center for Applied Software Engineering, Genova, Italy

    Alberto Sillitti

  4. Innopolis University, Innopolis, Russia

    Giancarlo Succi

Authors
  1. Witold Pedrycz
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  2. Alberto Sillitti
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  3. Giancarlo Succi
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Corresponding author

Correspondence to Witold Pedrycz .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer En, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  2. Innopolis University, Bolzano, Italy

    Giancarlo Succi

  3. Center for Applied Software Engineering, Bolzano, Italy

    Alberto Sillitti

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Pedrycz, W., Sillitti, A., Succi, G. (2016). Computational Intelligence: An Introduction. In: Pedrycz, W., Succi, G., Sillitti, A. (eds) Computational Intelligence and Quantitative Software Engineering. Studies in Computational Intelligence, vol 617. Springer, Cham. https://doi.org/10.1007/978-3-319-25964-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-25964-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25962-8

  • Online ISBN: 978-3-319-25964-2

  • eBook Packages: EngineeringEngineering (R0)

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