Intelligent Computing Systems

Emerging Application Areas

  • George A. Tsihrintzis
  • Maria Virvou
  • Lakhmi C. Jain
Part of the Studies in Computational Intelligence book series (SCI, volume 627)

Table of contents

  1. Front Matter
    Pages i-x
  2. George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain
    Pages 1-4
  3. Stamatios Theocharis, George Tsihrintzis
    Pages 5-37
  4. Eleni-Maria Kalogeraki, Dimitris Apostolou, Themis Panayiotopoulos, George Tsihrintzis, Stamatios Theocharis
    Pages 87-114
  5. Stella Androulaki, Haris Doukas, Evangelos Spiliotis, Ilias Papastamatiou, John Psarras
    Pages 189-205
  6. Federico Delfino, Mansueto Rossi, Fabio Pampararo, Luca Barillari
    Pages 207-225
  7. Vassilios Canellidis, John Giannatsis, Vassilis Dedoussis
    Pages 271-298
  8. Sotirios Spanogianopoulos, Konstantinos Sirlantzis
    Pages 299-327
  9. M. Coşulschi, M. Gabroveanu, A. Sbîrcea
    Pages 329-350

About this book

Introduction

This book at hand explores emerging scientific and technological areas in which Intelligent Computing Systems provide efficient solutions and, thus, may play a role in the years to come. It demonstrates how Intelligent Computing Systems make use of computational methodologies that mimic nature-inspired processes to address real world problems of high complexity for which exact mathematical solutions, based on physical and statistical modelling, are intractable. Common intelligent computational methodologies are presented including artificial neural networks, evolutionary computation, genetic algorithms, artificial immune systems, fuzzy logic, swarm intelligence, artificial life, virtual worlds and hybrid methodologies based on combinations of the previous.

The book will be useful to researchers, practitioners and graduate students dealing with mathematically-intractable problems. It is intended for both the expert/researcher in the field of Intelligent Computing Systems, as well as for the general reader in the fields of Artificial and Computational Intelligence who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

Keywords

Computational Intelligence Knowledge Acquisition Techniques Knowledge Engineering Knowledge Representation Techniques Learning and Decision Making Reasoning in Knowledge Engineering

Editors and affiliations

  • George A. Tsihrintzis
    • 1
  • Maria Virvou
    • 2
  • Lakhmi C. Jain
    • 3
  1. 1.Dept of InformaticsUniversity of PiraeusPiraeusGreece
  2. 2.Department of InformaticsUniversity of PiraeusPiraeusGreece
  3. 3.Data Science Institute, Faculty of Science & technology, Bournemouth UniversityAdelaideAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-49179-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-49177-5
  • Online ISBN 978-3-662-49179-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book