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dc.contributor.authorPlayne, D.P.
dc.contributor.authorGerdelan, A.P.
dc.contributor.authorLeist, A.
dc.contributor.authorScogings, C.J.
dc.contributor.authorHawick, K.A.
dc.date.accessioned2013-05-21T00:01:25Z
dc.date.available2013-05-21T00:01:25Z
dc.date.issued2008
dc.identifier.citationPlayne, D.P., Gerdelan, A.P., Leist, A., Scogings, C.J., Hawick, K.A. (2008), Simulation modelling and visualisation: toolkits for building artificial worlds, Research Letters in the Information and Mathematical Sciences, 12, 25-50en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4496
dc.description.abstractSimulations 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.en
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectComputer simulationsen
dc.subjectComputer modellingen
dc.subjectComputer graphicsen
dc.subjectArtificial realitiesen
dc.subjectModel worldsen
dc.titleSimulation modelling and visualisation: toolkits for building artificial worldsen
dc.typeArticleen


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