Abstract
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.
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References
BaileyD. Borwein J. (2005) ‘Future prospects for computer assisted mathematics’,. Notes of the Canadian Mathematical Society 37: 2–6
Bedau M. (1997) Weak emergence. Philosophical Perspectives 11: 375–399
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.
Costas, H.-A. (forthcoming). Review of Humphreys [2004], Mind.
Ford K., Glymour C., Hayes P. (2006) Thinking about android epistemology. AAAI Press, Menlo Park, CA
Frigg, R., & Reiss, J. (2008). The philosophy of simulation: hot new issues or same old stew? Synthese. doi:10.1007/s11229-008-9438-z.
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 103–118
Humphreys P. (2004) Extending ourselves: Computational science, empiricism, and scientific method. Oxford University Press, New York
Humphreys, P. (2008). ZiF Mitteilungen, Zentrum für interdisziplinäre Forschung, Bielefeld, 2008.
Mermin N.D. (2007) Quantum computer science. Cambridge University Press, Cambridge
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 119–130
Popper K. (1972) Epistemology without a Knowing Subject. In: Popper K.(eds) Objective knowledge: An evolutionary approach. Oxford University Press, Oxford, pp 106–152
Schweber S., Wächter M. (2000) Complex systems, modeling and simulation’, Studies in History and Philosophy of Modern Physics 31: 583–609
Shapiro, S. (eds) (2005) The Oxford handbook of philosophy of mathematics and logic. Oxford University Press, New York
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 355–373
Thurston W. (1994) On proof and progress in mathematics. Bulletin of the American Mathematical Society 30: 161–177
Van Fraassen B. (1980) The scientific image. The Clarendon Press, Oxford
van Fraassen B. (2004) The empirical stance. Yale University Press, New Have
Weinberg S. (1987) Newtonianism, reductionism, and the art of congressional testimony’. Nature 330: 433–437
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Humphreys, P. The philosophical novelty of computer simulation methods. Synthese 169, 615–626 (2009). https://doi.org/10.1007/s11229-008-9435-2
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DOI: https://doi.org/10.1007/s11229-008-9435-2