Which explanatory role for mathematics in scientific models? Reply to 'The Explanatory Dispensability of Idealizations'.

In The Explanatory Dispensability of Idealizations, Sam Baron suggests a possible strategy enabling the indispensability argument to break the symmetry between mathematical claims and idealization assumptions in scientific models. Baron's distinction between mathematical and non-mathematical idealiz...

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Publicado en:Synthese Vol. 193; no. 2; pp. 387 - 402
Autor principal: Bianchi, Silvia
Formato: Artículo
Publicado: Springer Nature Feb2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Which explanatory role for mathematics in scientific models? Reply to 'The Explanatory Dispensability of Idealizations'.
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        au: Bianchi, Silvia
        affil: Universitat Autònoma de Barcelona, Bellaterra 08193 Barcelona Spain
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        Philosophy of mathematics
        Idealism
        Expression (Philosophy)
        Baron, Sam
        Model theory
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          Philosophy of mathematics
          Idealism
          Expression (Philosophy)
          Baron, Sam
          Model theory
      keyword:
        Difference-making
        Explanation
        Idealization
        Mathematics
        Scientific models
      ab: In The Explanatory Dispensability of Idealizations, Sam Baron suggests a possible strategy enabling the indispensability argument to break the symmetry between mathematical claims and idealization assumptions in scientific models. Baron's distinction between mathematical and non-mathematical idealization, I claim, is in need of a more compelling criterion, because in scientific models idealization assumptions are expressed through mathematical claims. In this paper I argue that this mutual dependence of idealization and mathematics cannot be read in terms of symmetry and that Baron's non-causal notion of mathematical difference-making is not effective in justifying any symmetry-breaking between mathematics and idealization. The function of making a difference that Baron attributes to mathematics cannot be referred to physical facts, but to the features of quantities, such as step lengths or time intervals taken into account in the models. It appears, indeed, that it does not follow from Baron's argument that idealizations do not help to carry the explanatory load at least for two reasons: (1) mathematics is not independent of idealizations in modelling and (2) idealizations help mathematics to carry the explanatory load of a model in different degrees.
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