On a 'science of modeling' for dynamic-systems; some fundamental ideas and principles

Abstract

Traditionally, the modeling of (i.e., the creation of mathematical models for) dynamic systems has been more of an art than a science. Today, there is a growing-feeling among scholars in the modeling and simulation community that modeling can, and should, be more scientific in nature. In this paper, a set of fundamental hypotheses and scientific principles are proposed as candidate components for the construction of an effective science of modeling for dynamic systems.