Robust Simulations.
As scientists begin to study increasingly complex questions, many have turned to computer simulation to assist in their inquiry. This methodology has been challenged by both analytic modelers and experimentalists. A primary objection of analytic modelers is that simulations are simply too complicate...
| Publicado en: | Philosophy of Science Vol. 74; no. 5; pp. 873 - 884 |
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| Formato: | Artículo |
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Cambridge University Press
Dec2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | As scientists begin to study increasingly complex questions, many have turned to computer simulation to assist in their inquiry. This methodology has been challenged by both analytic modelers and experimentalists. A primary objection of analytic modelers is that simulations are simply too complicated to perform model verification. From the experimentalist perspective it is that there is no means to demonstrate the reality of simulation. The aim of this paper is to consider objections from both of these perspectives, and to argue that a proper understanding and application of robustness analysis is able to resolve them. |
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