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Title: Strategies of model-building in condensed matter physics: Trade-offs as a demarcation criterion between physics and biology?
Authors: Gelfert, A. 
Keywords: Complexity
Mesoscopic models
Scientific models
Issue Date: 2013
Citation: Gelfert, A. (2013). Strategies of model-building in condensed matter physics: Trade-offs as a demarcation criterion between physics and biology?. Synthese 190 (2) : 253-272. ScholarBank@NUS Repository.
Abstract: This paper contrasts and compares strategies of model-building in condensed matter physics and biology, with respect to their alleged unequal susceptibility to trade-offs between different theoretical desiderata. It challenges the view, often expressed in the philosophical literature on trade-offs in population biology, that the existence of systematic trade-offs is a feature that is specific to biological models, since unlike physics, biology studies evolved systems that exhibit considerable natural variability. By contrast, I argue that the development of ever more sophisticated experimental, theoretical, and computational methods in physics is beginning to erode this contrast, since condensed matter physics is now in a position to measure, describe, model, and manipulate sample-specific features of individual systems-for example at the mesoscopic level-in a way that accounts for their contingency and heterogeneity. Model-building in certain areas of physics thus turns out to be more akin to modeling in biology than has been supposed and, indeed, has traditionally been the case. © 2012 Springer Science+Business Media B.V.
Source Title: Synthese
ISSN: 00397857
DOI: 10.1007/s11229-012-0145-4
Appears in Collections:Staff Publications

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