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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/9053
Title: Generating Computational Models for Serious Gaming
Authors: Westera, Wim
Keywords: Games
Computational model
Linear programming
Simulation
Parameterisation
Learning
Serious
Issue Date: Oct-2013
Publisher: Springer International Publishing Switzerland
Citation: Westera, W. (2014). Generating Computational Models for Serious Gaming. In A. De Gloria (Ed.), Games and Learning Alliance, Second International Conference, GALA 2013, Lecture Notes in Computer Science, Vol. 8605 (pp. 53-63). October, 23-25, 2013, Paris, France. Springer International Publishing Switzerland.
Abstract: Many serious games include computational models that simulate dynamic systems. These models promote enhanced interaction and responsiveness. Under the social web paradigm more and more usable game authoring tools become available that enable prosumers to create their own games, but the inclusion of dynamic simulations remains a specialist’s job involving knowledge of mathematics, numerical modeling and programming. This paper describes a methodology for specifying and running a specific subset of computational models without the need of bothering with mathematical equations. The methodology comprises a knowledge elicitation procedure for identifying and specifying the required model components, whereupon the mathematical model is automatically generated. The approach is based on the fact that many games focus on optimisation problems that are covered by a general class of linear programming models. The paper thus sketches the principles of a creativity tool that removes barriers for harvesting the creative potential of teachers and students.
URI: http://hdl.handle.net/1820/9053
Appears in Collections:1. FEEEL Publications, books and conference papers

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