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Smart Modeling and Simulation for Complex Systems: Practice and Theory

Book


Abstract


  • Computer based modelling and simulation have become useful tools to facilitate humans to understand systems in different domains, such as physics, chemistry, biology, economics, engineering and social science. A complex system is featured with a large number of interacting components, whose aggregate activities are nonlinear and self-organized. Complex systems are hard to be simulated or modelled by using traditional computational approaches due to the complex relationships of components and distributed features of resources, and dynamic work environments. Meanwhile, smart systems such as multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.

    This book constitutes extended versions of selected papers from the international workshop on Smart Simulation and Modelling for Complex Systems (SSMCS’13) in IJCAI’13, which was held in Beijing, China, in August 2013. Each paper was peer reviewed by three PC members. We solicited papers on all aspects of smart simulation and modelling of complex systems through using agent and other AI technologies. They are, for instance, being studied in the network modelling, microsimulation and modelling, social influence modelling, disaster modelling, environment modelling, power market modelling, and idea discovery process modelling.

    Finally, we would like to extend our sincere thanks to all authors. This book would not have been possible without their valuable supports and contributions.

Editors


  •   Bai, Quan (external editor)
  •   Minjie Zhang
  •   Tang, Xijin (external editor)
  •   Ren, Fenghui
  •   Ito, Takayuki (external editor)

Publication Date


  • 2015

Citation


  • Bai, Q., Zhang, M., Tang, X., Ren, F. & Ito, T. (Eds.). (2015). Smart Modeling and Simulation for Complex Systems: Practice and Theory. Japan: Springer.

International Standard Book Number (isbn) 13


  • 9784431552086

Scopus Eid


  • 2-s2.0-84927750198

Place Of Publication


  • Japan

Abstract


  • Computer based modelling and simulation have become useful tools to facilitate humans to understand systems in different domains, such as physics, chemistry, biology, economics, engineering and social science. A complex system is featured with a large number of interacting components, whose aggregate activities are nonlinear and self-organized. Complex systems are hard to be simulated or modelled by using traditional computational approaches due to the complex relationships of components and distributed features of resources, and dynamic work environments. Meanwhile, smart systems such as multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.

    This book constitutes extended versions of selected papers from the international workshop on Smart Simulation and Modelling for Complex Systems (SSMCS’13) in IJCAI’13, which was held in Beijing, China, in August 2013. Each paper was peer reviewed by three PC members. We solicited papers on all aspects of smart simulation and modelling of complex systems through using agent and other AI technologies. They are, for instance, being studied in the network modelling, microsimulation and modelling, social influence modelling, disaster modelling, environment modelling, power market modelling, and idea discovery process modelling.

    Finally, we would like to extend our sincere thanks to all authors. This book would not have been possible without their valuable supports and contributions.

Editors


  •   Bai, Quan (external editor)
  •   Minjie Zhang
  •   Tang, Xijin (external editor)
  •   Ren, Fenghui
  •   Ito, Takayuki (external editor)

Publication Date


  • 2015

Citation


  • Bai, Q., Zhang, M., Tang, X., Ren, F. & Ito, T. (Eds.). (2015). Smart Modeling and Simulation for Complex Systems: Practice and Theory. Japan: Springer.

International Standard Book Number (isbn) 13


  • 9784431552086

Scopus Eid


  • 2-s2.0-84927750198

Place Of Publication


  • Japan