Using models to represent reality
| Abstract | There has recently been an increase in interest in the role of models in science, of which the Pavia workshop on model-based reasoning is a manifestation. One result of this increased attention has been a proliferation of views on what models are and how they are used in science. In this presentation I will develop a unified interpretation of the nature and role of models in science. Central to this interpretation is an understanding of the relationships between models and other elements of an understanding of science, particularly theories, data, and analogy. My conclusion will be that models play a much larger role in science than even the most ardent enthusiasts for models have typically claimed. Modeling, on my view, is not at all ancillary to doing science, but central to constructing scientific accounts of the natural world. | |||||||||
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Daniela M. Bailer-Jones (2003). When Scientific Models Represent. International Studies in the Philosophy of Science 17 (1):59 – 74.
Stephan Hartmann & Roman Frigg (2006). Models in Science. In Ed Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford.
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Chuanfei Chin (2011). Models as Interpreters (with a Case Study From Pain Science). Studies in History and Philosophy of Science 42 (2):303-312.
Stephen M. Downes (2009). Models, Pictures, and Unified Accounts of Representation: Lessons From Aesthetics for Philosophy of Science. Perspectives on Science 17 (4):417-428.
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