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Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds

D.P. Playne, A.P. Gerdelan, A. Leist, C.J. Scogings and K.A. Hawick
Complex Systems & Simulations Group (CSSG), Institute of Information and Mathematical Sciences, Massey University, North Shore 102-904, Auckland, New Zealand
Research Letters in the Information and Mathematical Sciences, Volume 12, p.25-50, 2008

@article{playne2008simulation,

   title={Simulation modelling and visualisation: Toolkits for building artificial worlds},

   author={Playne, DP and Gerdelan, AP and Leist, A. and Scogings, CJ and Hawick, KA},

   journal={Research Letters in the Information and Mathematical Sciences},

   volume={12},

   pages={25–50},

   year={2008}

}

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Simulations users at all levels make heavy use of compute resources to drive computational simulations for greatly varying applications areas of research using different simulation paradigms. Simulations are implemented in many software forms, ranging from highly standardised and general models that run in proprietary software packages to ad hoc hand-crafted simulations codes for very specific applications. Visualisation of the workings or results of a simulation is another highly valuable capability for simulation developers and practitioners. There are many different software libraries and methods available for creating a visualisation layer for simulations, and it is often a difficult and time-consuming process to assemble a toolkit of these libraries and other resources that best suits a particular simulation model. We present here a break-down of the main simulation paradigms, and discuss differing toolkits and approaches that different researchers have taken to tackle coupled simulation and visualisation in each paradigm.
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