Underlying Issues Associated with Validation and Verification of Dynamic Data Driven Simulation

This paper presents a brief exposition of three underemphasized issues concerning modeling and simulation as they relate to dynamic data driven application systems. One issue concerns the fact that conventional procedures for validation of data-driven models and simulations are unnecessary as they intrinsically contain validation in that they have been constructed according to acquired data. Another issue concerns the inherent coupling between the experimental frame used to measure system response and the system itself. This coupling can lead to an unrealistic simulation of the system in that the data contains the interaction of the system with the experimental frame. The final issue concerns the inherent pluralism of parametric representation and of potential mappings from data space into model space. This inherent pluralism imposes the need for optimal model and data space navigation procedures that are structured for appropriate sampling of data space and specification of faithful model parameterizations

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