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Scientific modeling is the process of generating abstract, conceptual, graphical and or mathematical models. Science offers a growing collection of methods, techniques and theory about all kinds of specialized scientific modeling. Modeling is an essential and inseparable part of all scientific activity, and a lot of scientific disciplines have their own ideas about specific types of modeling. There is only little general theory about scientific modeling, offered by the philosophy of science, systems theory, and new fields like knowledge visualization. Modeling is a comparatively new area of activity involving the marriage of ideas from various disciplines[1], and is an essential and inseparable part of all scientific activity. The professional modeler brings special skills and techniques to bear in order to produce results that are insightful, reliable, and useful. Modeling techniques include statistical methods, computer simulation, system identification, and sensitivity analysis. None of these, however, is as important as the ability to understand the underlying dynamics of a complex system. These insights are needed to assess whether the assumptions of a model are correct and complete. The modeller must be able to recognize whether a model reflects reality, and to identify and deal with divergences between theory and data.[2] One of the main aims of scientific modeling is to apply quantitative reasoning to observations about the world, in the hope of seeing aspects that may have escaped the notice of others. Now there are many specific techniques that modelers use, which enable us to discover aspect of reality that may not be obvious to everyone. One of the essentials is the understanding of the role that assumptions play in the development of the model. The usual approach to model development is to characterize the system, make some assumptions about how it works and translate these into equations and a simulation program. After simulation one of the final steps is the validation. The question if we can trust the data the model presented..[2]
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