Scientific representation and dissimilarity

Synthese 198 (6):5495-5513 (2019)
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Abstract

In this essay, I examine the role of dissimilarity in scientific representation. After briefly reviewing some of the philosophical literature which places a strong emphasis on the role of similarity, I turn to examine some work from Carroll and Borges which demonstrates that perfect similarity is not valuable in the representational use of maps. Expanding on this insight, I go on to argue that this shows that dissimilarity is an important part of the representational use of maps—a point I then extend to the case of scientific representation. Relying on some work from Latour, I argue that dissimilarity plays an essential role in representational practice, by providing novel forms of manipulation and use which affords the achievement of various epistemic and nonepistemic aims. After showing how this point connects to some other literature on scientific representation, I discuss some examples of the value of dissimilarity in the use of representational vehicles. Overall, I argue that to understand scientific representation, we will need to consider more than just similarity. We will need to explore dissimilarities as well.

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Brandon Boesch
Morningside College

Citations of this work

Scientific representation.Roman Frigg & James Nguyen - 2016 - Stanford Encyclopedia of Philosophy.
Idealized Models as Selective Representations.Alfonso Anaya - 2023 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 54 (2):189-213.
A concrete example of representational licensing: The Mississippi River Basin Model.Brandon Boesch - 2022 - Studies in History and Philosophy of Science Part A 92 (C):36-44.

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References found in this work

The Scientific Image.William Demopoulos & Bas C. van Fraassen - 1982 - Philosophical Review 91 (4):603.
Scientific Representation: Paradoxes of Perspective.Bas C. Van Fraassen - 2008 - Oxford, GB: Oxford University Press UK.
Features of similarity.Amos Tversky - 1977 - Psychological Review 84 (4):327-352.

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