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Informative Models: Idealization and Abstraction

In Alejandro Cassini & Juan Redmond (eds.), Models and Idealizations in Science: Artifactual and Fictional Approaches. Springer Verlag. pp. 71-85 (2021)

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  1. Radical artifactualism.Guilherme Sanches de Oliveira - 2022 - European Journal for Philosophy of Science 12 (2):1-33.
    A powerful idea put forward in the recent philosophy of science literature is that scientific models are best understood as instruments, tools or, more generally, artifacts. This idea has thus far been developed in combination with the more traditional representational approach: accordingly, current artifactualist accounts treat models as representational tools. But artifactualism and representationalism are independent views, and adopting one does not require acceptance of the other. This paper argues that a leaner version of artifactualism, free of representationalist assumptions, is (...)
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  • Epistemic expression in the determination of biomolecular structure.Agnes Bolinska - 2023 - Studies in History and Philosophy of Science Part A 100 (C):107-115.
    Scientific research is constrained by limited resources, so it is imperative that it be conducted efficiently. This paper introduces the notion of epistemic expression, a kind of representation that expedites the solution of research problems. Epistemic expressions are representations that (i) contain information in a way that enables more reliable information to place the most stringent constraints on possible solutions and (ii) make new information readily extractible by biasing the search through that space. I illustrate these conditions using historical and (...)
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