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1024CFP: Special Session on Smart Modelling and Simulation in PRICAI 2014, Gold Coast, Australia, 1-5 December 2014

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  • Minjie Zhang
    Apr 22, 2014


      Special Session on Smart Modelling and Simulation in

      The 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014)


      Scope and Background: 

      Computer based modelling and simulation has become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science. A complex system is featured with a large number of interacting components (agents, processes, etc.), 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 year, we are going to organize a special session on Smart Modelling and Simulation (SMS) under the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI’14: http://www.pricai2014.org/). SMS aims to bring together researchers in both artificial intelligence and system modelling/simulation to discuss research challenges and cutting edge techniques in smart simulation and modelling.


      Smart simulation and modelling is an important field in AI. We believe that this special session will attract attentions from not only AI researchers, but also domain experts who are interested in the applications of AI techniques in system modelling and simulation. The topics of the special session include but are not limited to:


      ・        Agent based simulation for complex systems

      ・        Agent based modelling for complex systems

      ・        Large-scale simulations

      ・        Network simulation and modelling

      ・        Environment and ecosystem simulation and modelling

      ・        Smart Grid/Service simulation and modelling

      ・        Simulation of social and economic organizations

      ・        Simulation of social complexity

      ・        Cooperation, coordination, negotiation and self-organisation

      ・        Market-based model and simulation

      ・        Transportation model and simulation

      ・        Crowd model and simulation

      ・        Evacuation model and simulation

      Important Dates:

      Submission deadline: June 29, 2014

      Acceptance notification: August 22, 2014

      Camera-ready submission: September 12, 2014

      Conference dates: December 1-5, 2014



      All papers submitted to SMS will be peer-reviewed using the same criteria of PRICAI’14. The accepted papers will be included in the conference proceedings of PRICAI’14, which will be published by Springer as a volume of LNAI series.


      Paper Submission: TBA


      Organization Committee:

      ・        Dr. Quan Bai, Auckland University of Technology, New Zealand

      ・        A/Prof. Minjie Zhang, University of Wollongong, Australia

      ・        A/Prof. Takayuki Ito, Nagoya Institute of Technology, Japan


      Program Committee Members (to be confirmed)

      ・         Dr. Guandong Xu, Victoria University, Australia

      ・        Dr. Jeremy Pitt, Imperial College London, UK

      ・        Dr. Ryo Kanamori, Nagoya Institute of Technology, Japan

      ・        Dr. Enrique de La Hoz, University of Alcala, Spain

      ・        Dr. Ivan Marsa-Maestre, Spain

      ・        Prof. Xudong Luo, Sun Yat-sen University, China

      ・        Dr. Qing Liu, CSIRO, Australia

      ・        Dr. Jiamou Liu, Auckland University of Technology, New Zealand

      ・        Dr. Naoki Fukuta, Shizuoka University, Japan

      ・        Dr. Dayong Ye, University of Wollongong, Australia

      ・        Dr. Fenghui Ren, University of Wollongong, Australia

      ・        Dr. Chao Yu, University of Wollongong, Australia


      Contact Person:

      Dr. Quan Bai

      Auckland University of Technology

      Email: quan.bai@...