, Volume 169, Issue 3, pp 615–626 | Cite as

The philosophical novelty of computer simulation methods

  • Paul HumphreysEmail author


Reasons are given to justify the claim that computer simulations and computational science constitute a distinctively new set of scientific methods and that these methods introduce new issues in the philosophy of science. These issues are both epistemological and methodological in kind.


Computer simulations Computational science Epistemic opacity Semantics Temporal dynamics Approximations 


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  1. BaileyD. Borwein J. (2005) ‘Future prospects for computer assisted mathematics’,. Notes of the Canadian Mathematical Society 37: 2–6Google Scholar
  2. Bedau M. (1997) Weak emergence. Philosophical Perspectives 11: 375–399Google Scholar
  3. Carnap, R. (1928). Der logische Aufbau der Welt. Berlin. English translation published as The Logical Structure of the World, Rolf George (translator), Berkeley: University of California Press, 1967.Google Scholar
  4. Costas, H.-A. (forthcoming). Review of Humphreys [2004], Mind.Google Scholar
  5. Ford K., Glymour C., Hayes P. (2006) Thinking about android epistemology. AAAI Press, Menlo Park, CAGoogle Scholar
  6. Frigg, R., & Reiss, J. (2008). The philosophy of simulation: hot new issues or same old stew? Synthese. doi: 10.1007/s11229-008-9438-z.
  7. Humphreys P. (1994) Numerical experimentation. In: Humphreys P.(eds) Patrick Suppes: Scientific Philosopher, Volume 2. Philosophy of Physics, Theory Structure and Measurement Theory. Kluwer Academic Publishers, Dordrecht, pp 103–118Google Scholar
  8. Humphreys P. (2004) Extending ourselves: Computational science, empiricism, and scientific method. Oxford University Press, New YorkGoogle Scholar
  9. Humphreys, P. (2008). ZiF Mitteilungen, Zentrum für interdisziplinäre Forschung, Bielefeld, 2008.Google Scholar
  10. Mermin N.D. (2007) Quantum computer science. Cambridge University Press, CambridgeGoogle Scholar
  11. Metropolis N. (1993) The age of computing: A personal memoir. In: Metropolis N., Rota G.-C.(eds) A new era in computation. The MIT Press, Cambridge, Mass, pp 119–130Google Scholar
  12. Popper K. (1972) Epistemology without a Knowing Subject. In: Popper K.(eds) Objective knowledge: An evolutionary approach. Oxford University Press, Oxford, pp 106–152Google Scholar
  13. Schweber S., Wächter M. (2000) Complex systems, modeling and simulation’, Studies in History and Philosophy of Modern Physics 31: 583–609CrossRefGoogle Scholar
  14. Shapiro, S. (eds) (2005) The Oxford handbook of philosophy of mathematics and logic. Oxford University Press, New YorkGoogle Scholar
  15. Stöckler M. (2000) ‘On modeling and simulations as instruments for the study of complex systems’. In: Carrier M., Massey G., Ruetsche L.(eds) Science at century’s end: Philosophical questions on the progress and limits of science. University of Pittsburgh Press, Pittsburgh, pp 355–373Google Scholar
  16. Thurston W. (1994) On proof and progress in mathematics. Bulletin of the American Mathematical Society 30: 161–177CrossRefGoogle Scholar
  17. Van Fraassen B. (1980) The scientific image. The Clarendon Press, OxfordCrossRefGoogle Scholar
  18. van Fraassen B. (2004) The empirical stance. Yale University Press, New HaveGoogle Scholar
  19. Weinberg S. (1987) Newtonianism, reductionism, and the art of congressional testimony’. Nature 330: 433–437CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Department of PhilosophyUniversity of VirginiaCharlottesvilleUSA

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