Calculating surprises: a review for a philosophy of computer simulations

Johannes Lenhard: Calculated Surprises. A philosophy of computer simulations. New York: Oxford University Press, 2019, 256pp, 64,12 €

This is a preview of subscription content, access via your institution.

References

  1. Alvarado, R., and P. Humphreys. 2017. Big data, thick mediation, and representational opacity. New Literary History 48(4): 729–749.

    Article  Google Scholar 

  2. Durán, J.M. 2017. Varying the explanatory span: Scientific explanation for computer simulations. International Studies in the Philosophy of Science 31(1): 27–45.

    Article  Google Scholar 

  3. Durán, J.M. 2018. Computer simulations in science and engineering. Concepts—Practices—Perspectives. Berlin: Springer.

    Book  Google Scholar 

  4. Durán, J.M. 2019. A formal framework for computer simulations: surveying the historical record and finding their philosophical roots. Philosophy & Technology. https://doi.org/10.1007/s13347-019-00388-1.

    Article  Google Scholar 

  5. Durán, J.M. 2020. What is a simulation model? Minds and Machines. https://doi.org/10.1007/s11023-020-09520-z.

    Article  Google Scholar 

  6. Durán, J.M., and N. Formanek. 2018. Grounds for trust: Essential epistemic opacity and computational reliabilism. Minds and Machines 28(4): 645–666.

    Article  Google Scholar 

  7. Humphreys, P. 1990. Computer Simulations. Proceedings of the Biennial Meeting of the Philosophy of Science Association 2: 497–506.

    Article  Google Scholar 

  8. Humphreys, P. 2004. Extending ourselves: Computational science, empiricism, and scientific method. Oxford: Oxford University Press.

    Book  Google Scholar 

  9. Krohs, U. 2008. How digital computer simulations explain real-world processes. International Studies in the Philosophy of Science 22(3): 277–292.

    Article  Google Scholar 

  10. Newman, J. (2015) Epistemic opacity, confirmation holism and technical debt: Computer simulation in the light of empirical software engineering. In F Gadducci and M Tavosanis, eds., History and philosophy of computingthird international conference, HaPoC 2015, 256–272. Springer.

  11. Symons, J., and J. Horner. 2014. Software intensive science. Philosophy & Technology 27(3): 461–477.

    Article  Google Scholar 

  12. Weirich, P. 2011. The explanatory power of models and simulations: A philosophical exploration. Simulation & Gaming 42(2): 155–176.

    Article  Google Scholar 

  13. Winsberg, E. 1999. Sanctioning models: The epistemology of simulation. Science in Context 12: 275–292.

    Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Juan M. Durán.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Durán, J.M. Calculating surprises: a review for a philosophy of computer simulations. Metascience 29, 337–340 (2020). https://doi.org/10.1007/s11016-020-00527-x

Download citation