How simulations fail.

'The problem with simulations is that they are doomed to succeed.' So runs a common criticism of simulations-that they can be used to 'prove' anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simul...

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Publicado en:Synthese Vol. 190; no. 12; pp. 2367 - 2391
Autores principales: Grim, Patrick, Rosenberger, Robert, Rosenfeld, Adam, Anderson, Brian, Eason, Robb
Formato: Artículo
Publicado: Springer Nature Aug2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1007/s11229-011-9976-7
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          Grim, Patrick
          Rosenberger, Robert
          Rosenfeld, Adam
          Anderson, Brian
          Eason, Robb
        affil:
          Stony Brook University, Stony Brook 11794 USA
          Georgia Institute of Technology, Atlanta 30332 USA
          Emerson College, Boston 02116 USA
      su:
        Computer simulation
        Electromechanical analogies
        Game theory
        Mathematical models
        Scientific method
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          Computer simulation
          Electromechanical analogies
          Game theory
          Mathematical models
          Scientific method
      keyword:
        Model
        Scientific methodology
        Simulation
      ab: 'The problem with simulations is that they are doomed to succeed.' So runs a common criticism of simulations-that they can be used to 'prove' anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simulations in a scientific context, it raises a difficult question: what standards should we use to differentiate a simulation that fails from one that succeeds? In this paper we build on a structural analysis of simulation developed in previous work to provide an evaluative account of the variety of ways in which simulations do fail. We expand the structural analysis in terms of the relationship between a simulation and its real-world target emphasizing the important role of aspects intended to correspond and also those specifically intended not to correspond to reality. The result is an outline both of the ways in which simulations can fail and the scientific importance of those various forms of failure.
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    language: English
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