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Series: Computational Analysis, Synthesis, and Design of Dynamic Systems
The introduction provides an extremely helpful and well-written overview of the philosophy behind simulation. Essentially the author describes how people learn by experimenting, trial-and-error. However in many cases this is not feasible. Thus if we can construct a model of the phenomena of interest, then we can experiment using the model (simulation). He goes on to describe verification versus model validation as well as ways of classifying models. He really makes a strong case for modeling and simulation before delving into the details.
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