Simulation and Modeling: Current Technologies and Applications (Google eBook)
The science of simulation and modeling (SM) strives to showcase the highest possible level of reality in order to determine the conditions necessary for optimal performance. SM is a multifaceted and complex field due to the numerous applications involved, particularly since SM applications range from nuclear reaction to supermarket queuing. Simulation and Modeling: Current Technologies and Applications includes examinations of current issues related to simulation such as: Web-based simulation, virtual reality, augmented reality, and artificial intelligence. This book combines different methods, views, theories, and applications of simulations into one volume, and offers insight into the computer science aspect of simulation and modeling while integrating the business practices of SM.
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Methodologies and Approaches in Discrete Event Simulation
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activities agent algorithm analysis application approach architecture attribute augmented reality automation behavior burst business process chapter complex conceptual process type constraints Copying or distributing Copyright core node cost cycle decision decision-making defined delay derivatives differential distributing in print driver dynamic electronic forms EMAM emotion engineering environment estimate evaluation example execution federate feedback forms without written function fuzzy goals IEEE IGI Global implementation information base input instance integration interaction Java knowledge labor power module neural network object-oriented OBS network OBSim operator optical optical burst switching optimal output performance Petri Nets phase print or electronic problem programming queue real-time requirements resource resource reservation protocols simulation model solution specific techniques tion traffic trajectory UCAV update variables vehicle virtual objects virtual reality visualization Winter Simulation Conference written permission Figure