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Computational Intelligence: A Compendium

  • Book
  • © 2008

Overview

Editors:
  1. John Fulcher

    1. School of Computer Science and Software Engineering Faculty of Informatics, University of Wollongong, Wollongong, Australia

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  2. L. C. Jain

    1. Knowledge-Based Engineering Founding Director of the KES Centre, University of South Australia, Adelaide, Australia

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    You can also search for this editor in PubMed   Google Scholar

  • State of the art in CI presented in a handbook style by leading experts
  • Contains the latest advanced developments on Methods, applications and Tools for Computational Intelligence

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

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Table of contents (25 chapters)

  1. Front Matter

    Pages I-XXXVI
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  2. Overview, Background

    1. Computational Intelligence: An Introduction

      • John Fulcher
      Pages 3-78

  3. Preprocessing, Visualization, Systems Integration

    1. Data Reduction for Pattern Recognition and Data Analysis

      • Tommy W. S. Chow, Di Huang
      Pages 81-109

    2. Topographic Maps for Clustering and Data Visualization

      • Colin Fyfe
      Pages 111-153

    3. Complex Systems Paradigms for Integrating Intelligent Systems: A Game Theoretic Approach

      • Yoshiteru Ishida
      Pages 155-181

  4. Artificial Intelligence

    1. Emotional Intelligence: Giving Computers Effective Emotional Skills to Aid Interaction

      • Chris Creed, Russell Beale
      Pages 185-230

  6. Ontology

    1. Graph-Based Representation and Reasoning for Ontologies

      • Dan R. Corbett
      Pages 351-379

    2. An Ontology-Based Intelligent Mobile System for Tourist Guidance

      • Toby H. W. Lam, Raymond S. T. Lee, James N. K. Liu
      Pages 381-406

  7. Intelligent Agents

    1. Open Source Agent-Based Modeling Frameworks

      • Russell K. Standish
      Pages 409-437

    2. Agent-Based Grid Computing

      • Minjie Zhang, Jia Tang, John Fulcher
      Pages 439-483

    3. Decentralized Multi-Agent Clustering in Scale-free Sensor Networks

      • Mahendra Piraveenan, Mikhail Prokopenko, Peter Wang, Astrid Zeman
      Pages 485-515

    4. Computational Intelligence in Agent-Based Computational Economics

      • Shu-Heng Chen
      Pages 517-594

  8. Fuzzy Systems

    1. Semantics and Perception of Fuzzy Sets and Fuzzy Mappings

      • Witold Pedrycz
      Pages 597-639

    2. Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers

      • Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
      Pages 641-685

  9. Artificial Neural Networks

    1. Data Mining in QoS-Aware Media Grids

      • Xiuju Fu, Xiaorong Li, Lipo Wang, David Ong, Stephen John Turner
      Pages 689-714

    2. The Self-Organizing Maps: Background, Theories, Extensions and Applications

      • Hujun Yin
      Pages 715-762

    3. Neural Systems Engineering

      • Steve Furber, Steve Temple
      Pages 763-796

    4. Artificial Brains: An Evolved Neural Net Module Approach

      • Hugo de Garis
      Pages 797-848
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Keywords

About this book

Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.

Reviews

From the reviews:

"This compendium contains an excellent summary of the past, present, and future of the field of artificial intelligence or machine learning, now more appropriately named as computational intelligence. …This compendium is particularly valuable not only for its thorough coverage, but also for the numerous resources provided with every chapter … . This material gives the reader an excellent foundation for further study, making this a valuable reference for those in the area. Summing Up: Highly recommended. Graduate, research, faculty, and professional collections." (J. Y. Cheung, Choice, Vol. 46 (6), February, 2009)

"Computational intelligence (CI) was in real need of this compendium, as it is an exhaustive summary that explores the theory of intelligence, through possible computational means. … This compendium is essential reading for researchers with an interest in the field; it could also serve as a resource for a doctoral thesis or various research projects, as it refers to literature that covers every aspect of the field and provides promising solutions to CI open problems." (Mario Aoun, ACM Computing Reviews, May, 2009)

Editors and Affiliations

  • School of Computer Science and Software Engineering Faculty of Informatics, University of Wollongong, Wollongong, Australia

    John Fulcher

  • Knowledge-Based Engineering Founding Director of the KES Centre, University of South Australia, Adelaide, Australia

    L. C. Jain

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