Philosophy of Science 86 (4):641-661 (2019)
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Abstract |
Deidealization as a topic in its own right has attracted remarkably little philosophical interest despite the extensive literature on idealization. One reason for this is the often implicit assumption that idealization and deidealization are, potentially at least, reversible processes. We question this assumption by analyzing the challenges of deidealization within a menu of four broad categories: deidealizing as recomposing, deidealizing as reformulating, deidealizing as concretizing, and deidealizing as situating. On closer inspection, models turn out much more inflexible than the reversal thesis would have us believe, and deidealization emerges as a creative part of modeling.
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DOI | 10.1086/704975 |
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References found in this work BETA
Extending Ourselves: Computational Science, Empiricism, and Scientific Method.Paul Humphreys - 2004 - Oxford University Press.
Games and Decisions: Introduction and Critical Survey.Robert Duncan Luce & Howard Raiffa - 1957 - New York: Wiley.
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Citations of this work BETA
An Artifactual Perspective on Idealization: Constant Capacitance and the Hodgkin and Huxley Model.Natalia Carrillo & Tarja Knuuttila - 2021 - In Alejandro Cassini & Juan Redmond (eds.), Models and Idealizations in Science: Fictional and Artefactual Approaches. Cham: Springer.
Holistic Idealization: An Artifactual Standpoint.Tarja Knuuttila & Natalia Carrillo - 2022 - Studies in History and Philosophy of Science Part A 91:49-59.
Intelligence and scientific expertise.Pierluigi Barrotta & Roberto Gronda - 2022 - Synthese 200 (2):1-19.
Defending De-Idealization in Economic Modeling: A Case Study.Edoardo Peruzzi & Gustavo Cevolani - 2021 - Sage Publications Inc: Philosophy of the Social Sciences 52 (1-2):25-52.
Defending De-Idealization in Economic Modeling: A Case Study.Edoardo Peruzzi & Gustavo Cevolani - 2022 - Philosophy of the Social Sciences 52 (1-2):25-52.
View all 10 citations / Add more citations
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