Artificial Intelligence Support for Scientific Model-Building

Richard M. Keller

Scientific model-building can be a timeintensive and painstaking process, often involving the development of large and complex computer programs. Despite the effort involved, scientific models cannot easily be distributed and shared with other scientists. In general, implemented scientific models are complex, idiosyncratic, and difficult for anyone but the original scientific development team to understand. We believe that artificial intelligence techniques can facilitate both the model-building and model-sharing process. In this paper, we overview our effort to build a scientific modeling software tool that aids the scientist in developing and using models. This tool includes an interactive intelligent graphical interface, a high-level domainspecific modeling language, a library of physics equations and experimental datasets, and a suite of data display facilities.


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