Influences of technical progress to simulation models

Although simulation is so wide-spread that it is difficult to find a definition in an essay where an application is described, it has not remained constant over the years. The reason for this is the fact that the limits of simulation models have shifted. This shift is due to new scientific discoveries and technical progress; examples for this are expert systems, the development of parallel processing and neural networks. This essay intends to demonstrate how such influences within the various phases of model creation can be taken into consideration and how these influences change the simulation model.