A DEVS-based M&S method for large-scale multi-agent systems

  • Authors:

  • Mingxin Zhang;Mamadou Seck;Alexander Verbraeck

  • Affiliations:

  • Delft University of Technology, The Netherlands and National University of Defense Technology, Changsha, China;Delft University of Technology, The Netherlands;Delft University of Technology, The Netherlands

  • Venue:
  • Proceedings of the 2013 Summer Computer Simulation Conference
  • Year:
  • 2013

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Abstract

ABMS offers various simulation systems, tools, toolkits and languages for multi-agent system research. However, there is a need for a M&S method for L-systems(large-scale multi-agent systems) research as current ABMS method has some degree of difficulty in dealing with the scale and heterogeneity issues of L-systems. This paper focused on the modelling aspect of the method by combining cognitive modelling, agent organization theory and DEVS-based framework together. First of all, we explained our research initiative by giving the reasons of our research. Further literature review of our choice is also present. Then, we present a design for constructing a DEVS-based system model. We choose PRS as our preferred cognitive architecture, and constructed a DEVS-based simulation framework together with the guidance of agent organization theory. Finally we summarize the benefits of our research compared to other methods.