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Outlines of a Pragmatic Theory of Truth and Error in Computer Simulation

In: The Science and Art of Simulation I

Author

Listed:
  • Christoph Hubig

    (TU Darmstadt, Institute of Philosophy)

  • Andreas Kaminski

    (University of Stuttgart, High Performance Computing Center Stuttgart (HLRS))

Abstract

The highly dynamic development of simulation technologies is propelled by the expectation that increasingly high-performing forecasting instruments can and will be employed. In current discussions, reference to “high-performing forecasting instruments” combines two perspectives that stand in an unresolved relationship to one another, which is philosophically revealing: forecasts as true, as in adequate, representations versus performance measured by the success of the technical practice. While the first perspective presupposes a theory of truth based on realism (adequate representations), the second orients itself towards pragmatic representations of truth. Once this is made explicit, a shortcoming in the existing philosophy of simulation becomes evident. An intense debate on the verification and validation of simulations has failed to address the theory of truth. This article undertakes a discussion on a theory of truth suitable for computer simulation that is not only based on a theoretical interest, but also on a practical one.

Suggested Citation

  • Christoph Hubig & Andreas Kaminski, 2017. "Outlines of a Pragmatic Theory of Truth and Error in Computer Simulation," Springer Books, in: Michael M. Resch & Andreas Kaminski & Petra Gehring (ed.), The Science and Art of Simulation I, pages 121-136, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-55762-5_9
    DOI: 10.1007/978-3-319-55762-5_9
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