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Computational Models of Complex Systems

  • Vijay Kumar Mago
  • Vahid Dabbaghian

Part of the Intelligent Systems Reference Library book series (ISRL, volume 53)

Table of contents

  1. Front Matter
    Pages i-x
  2. Vijay Kumar Mago, Vahid Dabbaghian
    Pages 1-4
  3. R. Cervelló-Royo, J. -C. Cortés, A. Sánchez-Sánchez, F. -J. Santonja, R. Shoucri, R. -J. Villanueva
    Pages 45-58
  4. Vijay Kumar Mago, Ryan Woolrych, Stephen N. Robinovitch, Andrew Sixsmith
    Pages 59-73
  5. Jumi Kalita, Kandarpa Kumar Sarma, Pranita Sarmah
    Pages 75-87
  6. C. A. Piña-García, Dongbing Gu
    Pages 185-196

About this book

Introduction

Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.

Keywords

Computational Intelligence Computational Modelling

Editors and affiliations

  • Vijay Kumar Mago
    • 1
  • Vahid Dabbaghian
    • 2
  1. 1.Department of Computer ScienceTroy UniversityTroyUSA
  2. 2.The IRMACS CentreSimon Fraser University The MoCSSy ProgramBurnabyCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01285-8
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-01284-1
  • Online ISBN 978-3-319-01285-8
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site
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