Intelligent simulation tools for mining large scientific data sets

This paper describes problems, challenges, and opportunities for intelligen t simulation of physical systems. Prototype intelligent simulation tools ha ve been constructed for interpreting massive data sets from physical fields and for designing engineering systems. We identify the characteristics of intelligent simulation and describe several concrete application examples. These applications, which include weather data interpretation, distributed control optimization, and spatio-temporal diffusion-reaction pattern analys is, demonstrate that intelligent simulation tools are indispensable for the rapid prototyping of application programs in many challenging scientific a nd engineering domains.