Incredible Worlds, Credible Results.

Robert Sugden argues that robustness analysis cannot play an epistemic role in grounding model-world relationships because the procedure is only a matter of comparing models with each other. We posit that this argument is based on a view of models as being surrogate systems in too literal a sense. I...

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Publicado en:Erkenntnis Vol. 70; no. 1; pp. 119 - 132
Autores principales: Kuorikoski, Jaakko, Lehtinen, Aki
Formato: Artículo
Publicado: Springer Nature Jan2009
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Kuorikoski, Jaakko
          Lehtinen, Aki
        affil: Department of Social and Moral Philosophy , University of Helsinki , 00014 University of Helsinki Finland
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        Models & modelmaking
        Sugden, Robert
        Theory of knowledge
        Inference (Logic)
        Cognition
        Statistical reliability
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          Models & modelmaking
          Sugden, Robert
          Theory of knowledge
          Inference (Logic)
          Cognition
          Statistical reliability
      ab: Robert Sugden argues that robustness analysis cannot play an epistemic role in grounding model-world relationships because the procedure is only a matter of comparing models with each other. We posit that this argument is based on a view of models as being surrogate systems in too literal a sense. In contrast, the epistemic importance of robustness analysis is easy to explicate if modelling is viewed as extended cognition, as inference from assumptions to conclusions. Robustness analysis is about assessing the reliability of our extended inferences, and when our confidence in these inferences changes, so does our confidence in the results. Furthermore, we argue that Sugden’s inductive account relies tacitly on robustness considerations.
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