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A tale of two methods

Abstract

Simulations (both digital and analog) and experiments share many features. But what essential features distinguish them? I discuss two proposals in the literature. On one proposal, experiments investigate nature directly, while simulations merely investigate models. On another proposal, simulations differ from experiments in that simulationists manipulate objects that bear only a formal (rather than material) similarity to the targets of their investigations. Both of these proposals are rejected. I argue that simulations fundamentally differ from experiments with regard to the background knowledge that is invoked to argue for the “external validity” of the investigation.

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References

  • Campbell D. (1957) Factors relevant to the validity of experiments in social settings. Psychological Bulletin 54: 297–312

    Article  Google Scholar 

  • Chalmers D. (1996) Does a rock implement every finite-state automaton?. Synthese 108: 309–333

    Article  Google Scholar 

  • Dowling D. (1999) Experimenting on theories. Science in Context 12(2): 261–273

    Article  Google Scholar 

  • Gilbert N., Troitzsch K. (1999) Simulation for the social scientist. Open University Press, Philadelphia

    Google Scholar 

  • Guala F. (2002) Models, simulations, and experiments. In: Magnani L., Nersessian N. (eds) Model-based reasoning: Science, technology, values. Kluwer, New York, pp 59–74

    Google Scholar 

  • Hacking I. (1983) Representing and intervening. Cambridge University Press, Cambridge

    Google Scholar 

  • Hughes R. (1999) The Ising model, computer simulation, and universal physics. In: Morgan M., Morrison M. (eds) Models as mediators. Cambridge University Press, Cambridge

    Google Scholar 

  • Humphreys P. (1995) Computational empiricism. Foundations of Science 1: 119–130

    Google Scholar 

  • Morgan M. (2002) Model experiments and models in experiments. In: Magnani L., Nersessian N. (eds) Model-based reasoning: Science, technology, values. Kluwer, New York, pp 41–58

    Google Scholar 

  • Morgan M. (2003) Experiments without material intervention: Model experiments, virtual experiments and virtually experiments. In: Radder H. (eds) The philosophy of scientific experimentation. University of Pittsburgh Press, Pittsburgh, pp 216–235

    Google Scholar 

  • Norton S., Suppe F. (2001) Why atmospheric modeling is good science. In: Miller C., Edwards P.N. (eds) Changing the atmosphere: Expert knowledge and environmental governance. MIT, Cambridge, pp 67–105

    Google Scholar 

  • Parker, W. (this volume). Does matter really matter: Computer simulations, experiments, and materiality.

  • Simon H. (1969) The sciences of the artificial. MIT, Boston

    Google Scholar 

  • Siono, S. (Ed.). (1962). Proceedings International Symposium on Numerical Weather Prediction in Tokyo, November 1960. Tokyo: Meteorological Society of Japan.

  • Stillinger F.H., Weber T.A. (1985) Computer simulation of local order in condensed phases of silicon. Phyiscal Review B 31: 5262–5271

    Article  Google Scholar 

  • Winsberg E. (1999) Sanctioning models: The epistemology of simulation. Science in Context 12(2): 275–292

    Article  Google Scholar 

  • Winsberg E. (2003) Simulated experiments: Methodology for a virtual world. Philosophy of Science 70: 105–125

    Article  Google Scholar 

Download references

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Correspondence to Eric Winsberg.

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Winsberg, E. A tale of two methods. Synthese 169, 575–592 (2009). https://doi.org/10.1007/s11229-008-9437-0

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  • DOI: https://doi.org/10.1007/s11229-008-9437-0

Keywords

  • Models
  • Simulations
  • Validation
  • Experiments
  • Methodology
  • Computers