Computer simulation and the features of novel empirical data.

In an attempt to determine the epistemic status of computer simulation results, philosophers of science have recently explored the similarities and differences between computer simulations and experiments. One question that arises is whether and, if so, when, simulation results constitute novel empi...

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Detalles Bibliográficos
Publicado en:Studies in History & Philosophy of Science Part A Vol. 56; pp. 145 - 153
Autor principal: Lusk, Greg
Formato: Artículo
Publicado: Elsevier B.V. Apr2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: Lusk, Greg
        affil: University of Toronto, Canada
      su:
        Computer simulation
        Empirical research
        Theory of knowledge
        Philosophers
        Computer programming
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          Computer simulation
          Empirical research
          Theory of knowledge
          Philosophers
          Computer programming
      keyword:
        Data
        Empirical knowledge
        Evidence
        Measurement
      ab: In an attempt to determine the epistemic status of computer simulation results, philosophers of science have recently explored the similarities and differences between computer simulations and experiments. One question that arises is whether and, if so, when, simulation results constitute novel empirical data. It is often supposed that computer simulation results could never be empirical or novel because simulations never interact with their targets, and cannot go beyond their programming. This paper argues against this position by examining whether, and under what conditions, the features of empiricality and novelty could be displayed by computer simulation data. I show that, to the extent that certain familiar measurement results have these features, so can some computer simulation results.
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    language: English
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