Smart Modeling and Simulation for Complex Systems

Practice and Theory

  • Quan Bai
  • Fenghui Ren
  • Minjie Zhang
  • Takayuki Ito
  • Xijin Tang

Part of the Studies in Computational Intelligence book series (SCI, volume 564)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Wen Zhang, Song Wang, Guangle Han, Ye Yang, Qing Wang
    Pages 1-14
  3. Daniel Keep, Ian Piper, Anthony Green
    Pages 15-27
  4. Martin Nyolt, Alexander Steiniger, Sebastian Bader, Thomas Kirste
    Pages 59-81
  5. Hao Wang, Yukio Ohsawa, Xiaohui Hu, Fanjiang Xu
    Pages 99-111
  6. Shantanu Chakraborty, Takayuki Ito
    Pages 113-131
  7. Back Matter
    Pages 147-149

About this book


This book aims to provide a description of these new Artificial Intelligence technologies and approaches to the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field such as the platforms and/or the software tools for smart modeling and simulating complex systems. These tasks are difficult to accomplish using traditional computational approaches due to the complex relationships of components and distributed features of resources, as well as the dynamic work environments. In order to effectively model the complex systems, intelligent technologies such as multi-agent systems and smart grids are employed to model and simulate the complex systems in the areas of ecosystem, social and economic organization, web-based grid service, transportation systems, power systems and evacuation systems.


Complex System Multi-agent System SSMCS Smart City Smart Grid Smart Modeling and Simulation

Editors and affiliations

  • Quan Bai
    • 1
  • Fenghui Ren
    • 2
  • Minjie Zhang
    • 3
  • Takayuki Ito
    • 4
  • Xijin Tang
    • 5
  1. 1.Auckland University of TechnologyAucklandNew Zealand
  2. 2.University of WollongongWollongongAustralia
  3. 3.School of Computer Science and SoftwareUniversity of WollongongWollongongAustralia
  4. 4.Nagoya Institute of TechnologyNagoyaJapan
  5. 5.Academy of Mathematics and Systems ScienceChinese Academy of ScienceBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Springer Japan 2015
  • Publisher Name Springer, Tokyo
  • eBook Packages Engineering
  • Print ISBN 978-4-431-55208-6
  • Online ISBN 978-4-431-55209-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site