Using ontologies for simulation modeling
Proceedings of the 38th conference on Winter simulation
Evaluation of game engines for simulated surgical training
Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia
Framework for 3D web-based visualization of HLA-compliant simulations
Web3D '08 Proceedings of the 13th international symposium on 3D web technology
Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
Understanding and Building Interoperable, Integrable and Composable Distributed Training Simulations
DS-RT '10 Proceedings of the 2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications
Serious Games, Debriefing, and Simulation/Gaming as a Discipline
Simulation and Gaming
Training systems design: bridging the gap between users and developers using storyboards
Proceedings of the 29th Annual European Conference on Cognitive Ergonomics
A life cycle for modeling and simulation
Simulation
Conceptual modeling for simulation-based serious gaming
Decision Support Systems
Ontology for modeling and simulation
Proceedings of the Winter Simulation Conference
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The convergence of training simulations with serious games can incite trainees to a more active participation, improving their learning experience and involvement. Games are difficult and expensive to develop thus, methodologies that support both reuse throughout the M&S lifecycle and interoperability are critical. There are different M&S methodologies proposed to facilitate the development of new serious games for training. However, these methodologies typically do not provide support to the whole M&S life cycle, from behavior modeling to communication and 3D presentation and interaction. In this paper, we introduce an M&S methodology to create, reuse and interoperate 3D serious games for training. We refined and validated this methodology by applying it in a practical undergrad discipline, in which students modeled dozens of emergency management training simulations: from START triage and fire fighting to emergency command and operations system. As results, we present a few developed scenarios.