Informational versus functional theories of scientific representation

Synthese 172 (2):197-213 (2010)
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Abstract

Recent work in the philosophy of science has generated an apparent conflict between theories attempting to explicate the nature of scientific representation. On one side, there are what one might call 'informational' views, which emphasize objective relations (such as similarity, isomorphism, and homomorphism) between representations (theories, models, simulations, diagrams, etc.) and their target systems. On the other side, there are what one might call 'functional' views, which emphasize cognitive activities performed in connection with these targets, such as interpretation and inference. The main sources of the impression of conflict here are arguments by some functionalists to the effect that informational theories are flawed: it is suggested that relations typically championed by informational theories are neither necessary nor sufficient for scientific representation, and that any theory excluding functions is inadequate. In this paper I critically examine these arguments, and contend that, as it turns out, informational and functional theories are importantly complementary.

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Anjan Chakravartty
University of Miami

Citations of this work

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Epistemic artifacts and the modal dimension of modeling.Tarja Knuuttila - 2021 - European Journal for Philosophy of Science 11 (3):1-18.
The Representational Semantic Conception.Mauricio Suárez & Francesca Pero - 2019 - Philosophy of Science 86 (2):344-365.

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References found in this work

How models are used to represent reality.Ronald N. Giere - 2004 - Philosophy of Science 71 (5):742-752.
True enough.Catherine Z. Elgin - 2004 - Philosophical Issues 14 (1):113–131.
Models and representation.Richard Hughes - 1997 - Philosophy of Science 64 (4):336.

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