A Grid Based Simulation Environment for Parallel Exploring Agent-Based Models with Vast Parameter Space

  • Chao YangEmail author
  • Isao Ono
  • Setsuya Kurahashi
  • Bin Jiang
  • Takao Terano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8944)


Agent-based simulation models with large experiments for a precise and robust result over a vast parameter space are becoming a common practice, where enormous runs intrinsically require highly intensive computational resources. This paper proposes a grid based simulation environment, named Social Macro Scope (SOMAS) to support parallel exploration on agent-based models with vast parameter space. We focus on three types of simulation methods for agent-based models with various objectives: (1) forward simulation to conduct experiments in a straightforward way by simply operating sets of parameter values to obtain sets of results; (2) inverse simulation to search for solutions that reduce the error between simulated results and actual data by means of solving “inverse problem”, which executes the simulation steps in a reverse order and employs optimization algorithms to fit the simulation results to the desired objectives; and (3) model selection to find optimal model structure with subset of parameters and procedures, which conducts two-layer optimization to obtain a simple and more accurate simulation result. We have confirmed the practical scalability and efficiency of SOMAS by a case study in history simulation domain.


Agent-based simulation Grid computing Forward simulation Inverse simulation Model selection 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Chao Yang
    • 1
    • 2
    Email author
  • Isao Ono
    • 2
  • Setsuya Kurahashi
    • 4
  • Bin Jiang
    • 2
    • 3
  • Takao Terano
    • 2
  1. 1.Business SchoolHunan UniversityChangshaChina
  2. 2.Department of Computational Intelligence and Systems ScienceTokyo Institute of TechnologyMeguroJapan
  3. 3.College of Computer Science and Electronic EngineeringHunan UniversityChangshaChina
  4. 4.Graduate School of Business SciencesUniversity of TsukubaTsukubaJapan

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