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This work introduces recent progresses in the above area with both theoretical and simulation developments in East China University of Science and Technology (ECUST) and Beijing University of Chemical Technology (BUCT) in China.
As part of ongoing simulation developments and refinement of reflective learning methods with these students, a small-scale pilot project was undertaken to evaluate the use of a portable reflective simulation framework (RSF) as a structured tool and technique to support and maximize learning aligned to curricula outcomes.
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Since 2011, Grignard is one of the main developers of the GAMA Platform, a modeling and simulation development environment for building spatially explicit, agent-based simulations.
In this paper, both HLA and CORBA are presented in the context of component-based simulation model development and interoperability.
The application of UML in the context of simulation model development is discussed by Sonnessa [ 76].
Recommendations for future simulation development and collaborative experiences are included.
This paper presents a novel approach to building an integrated uncertainty quantification (UQ) methodology suitable for modern-day component-based approach for multi-physics simulation development.
The aim for this simulation development was to provide a method that can aid future system design and optimize performance in line with energy requirements for specific buildings.
We share key lessons learned, including resources required for simulation development and delivery, revisions to the simulation format and content in response to student feedback, and transferability and sustainability of the simulation.
We introduce the JavaBeans discrete simulation (JBDS) system, which has a library of basic simulation components and the OPT component, to illustrate the combination of component/web-based simulation development and OPT.
The agent-based simulation development and calibration process used for building the presented model is general and can be used for developing simulation models of other maritime transportation phenomena.
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