Sloppy Models, Renormalization Group Realism, and the Success of Science: Sloppy Models, Renormalization Group Realism, and the...: D. Freeborn.

The "sloppy models" program originated in systems biology, but has seen applications across a range of fields. Sloppy models are dependent on a large number of parameters, but highly insensitive to the vast majority of parameter combinations. Sloppy models proponents claim that the program may expla...

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Detalles Bibliográficos
Publicado en:Erkenntnis Vol. 90; no. 2; pp. 645 - 674
Autor principal: Freeborn, David
Formato: Artículo
Publicado: Springer Nature Feb2025
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:The "sloppy models" program originated in systems biology, but has seen applications across a range of fields. Sloppy models are dependent on a large number of parameters, but highly insensitive to the vast majority of parameter combinations. Sloppy models proponents claim that the program may explain the success of science. I argue that the sloppy models program can at best provide a very partial explanation. Drawing a parallel with renormalization group realism, I argue that it would only give us grounds for a minimal kind of scientific realism. Nonetheless, the program can offer certain epistemic virtues.