Abstract
Simulation is all around us. Indeed, most of the objects in our everyday lives have been carefully simulated before being physically produced. Young people spend hours playing video games that vividly reproduce sports or imaginary worlds; doctors practice on virtual patients; molecular process simulations allow pharmaceutical companies to invent new medicines; and realistic simulation models render weather forecasting more precise than ever before. Moreover, managers in multinational companies use simulations to analyze future market scenarios, and simulation is also a recurrent theme in many movies and science fiction novels.
Reality is that which, when you stop believing in it, doesn’t go away
Philip K. Dick, How To Build A Universe That Doesn’t Fall Apart Two Days Later (1978)
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Notes
- 1.
The Chap. 2 will propose a definition more specific to the instructional use of simulation.
- 2.
Even this type of simulation allows for the use of technologies such as virtual reality, but they are more frequently run as traditional computer programs.
- 3.
Each tree node represents a situation and branches into potential decisions concerning that specific situation. Numerical weights can be incorporated into the nodes, but the simulation flow will ultimately depend on the player’s qualitative decisions.
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© 2013 Springer Science+Business Media New York
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Landriscina, F. (2013). An Introduction to Simulation for Learning. In: Simulation and Learning. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1954-9_1
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DOI: https://doi.org/10.1007/978-1-4614-1954-9_1
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Online ISBN: 978-1-4614-1954-9
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