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Computational Intelligence

A Methodological Introduction

  • Textbook
  • © 2022

Overview

Authors:
  1. Rudolf Kruse

    1. Faculty of Computer Science, Otto-von-Guericke-University, Magdeburg, Germany

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  2. Sanaz Mostaghim

    1. Faculty of Computer Science, Otto-von-Guericke-University, Magdeburg, Germany

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  3. Christian Borgelt

    1. Dept. of Artificial Intelligence and Human Interfaces, Paris-Lodron-University Salzburg, Salzburg, Austria

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  4. Christian Braune

    1. Faculty of Computer Science, Otto-von-Guericke-University, Magdeburg, Germany

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  5. Matthias Steinbrecher

    1. D4L data4life gGmbH, Potsdam, Germany

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  • Written by a team of highly-regarded experts, with extensive experience in both academia and industry
  • Provides supplementary material on module descriptions, lecture slides, exercises with solutions, and software tools
  • Addresses deep learning, scalarization, large-scale optimization algorithms, and collective decision-making algorithms

Part of the book series: Texts in Computer Science (TCS)

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Table of contents (30 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
    Pages 1-3

  3. Neural Networks

    1. Front Matter

      Pages 5-5
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    2. Introduction to Artificial Neural Networks

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 7-13

    3. Threshold Logic Units

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 15-37

    4. General Neural Networks

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 39-52

    5. Multi-layer Perceptrons

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 53-124

    6. Radial Basis Function Networks

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 125-148

    7. Self-organizing Maps

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 149-166

    8. Hopfield Networks

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 167-193

    9. Recurrent Networks

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 195-212

    10. Neural Networks: Mathematical Remarks

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 213-221

  4. Evolutionary Algorithms

    1. Front Matter

      Pages 223-223
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    2. Introduction to Evolutionary Algorithms

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 225-254

    3. Elements of Evolutionary Algorithms

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 255-285

    4. Fundamental Evolutionary Algorithms

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 287-341

    5. Computational Swarm Intelligence

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 343-369

  5. Fuzzy Systems

    1. Front Matter

      Pages 371-371
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    2. Introduction to Fuzzy Sets and Fuzzy Logics

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 373-405

    3. The Extension Principle

      • Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
      Pages 407-413
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Keywords

About this book

This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced third edition has been fully revised and expanded with new content on deep learning, scalarization methods, large-scale optimization algorithms, and collective decision-making algorithms. 



Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.

Reviews

“The book presents a thorough exposition of the main concepts of computational intelligence. … It is an interesting book that may serve very well a wide audience, providing material for researchers, students as well as people working in industry.” (Catalin Stoean, zbMATH 1500.68001, 2023)

“The authors have written Computational intelligence in such a way that it can serve as both a textbook and a helpful reference book for students and practitioners of computing science and related fields. The presentation is careful and friendly yet technically sound.” (Soubhik Chakraborty, Computing Reviews, March 7, 2023)


Authors and Affiliations

  • Faculty of Computer Science, Otto-von-Guericke-University, Magdeburg, Germany

    Rudolf Kruse, Sanaz Mostaghim, Christian Braune

  • Dept. of Artificial Intelligence and Human Interfaces, Paris-Lodron-University Salzburg, Salzburg, Austria

    Christian Borgelt

  • D4L data4life gGmbH, Potsdam, Germany

    Matthias Steinbrecher

About the authors

Dr. Rudolf Kruse is the former leader of the Computational Intelligence Research Group and now Emeritus Professor of the Department of Computer Science at the University of Magdeburg, Germany. Dr. Sanaz Mostaghim is a full Professor of Computer Science and Dr. Christian Braune is a Senior Lecturer at the same institution. Dr. Christian Borgelt is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria. Dr. Matthias Steinbrecher is a Development Architect at SAP SE, Potsdam, Germany.           

 

Bibliographic Information

  • Book Title: Computational Intelligence

  • Book Subtitle: A Methodological Introduction

  • Authors: Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher

  • Series Title: Texts in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-42227-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-42226-4Published: 29 March 2022

  • Softcover ISBN: 978-3-030-42229-5Published: 30 March 2023

  • eBook ISBN: 978-3-030-42227-1Published: 26 March 2022

  • Series ISSN: 1868-0941

  • Series E-ISSN: 1868-095X

  • Edition Number: 3

  • Number of Pages: XIV, 639

  • Number of Illustrations: 282 b/w illustrations, 42 illustrations in colour

  • Topics: Artificial Intelligence, Mathematical and Computational Engineering, Computational Intelligence, Theory of Computation

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