New experimentalism and computer-aided experiments

Main Article Content

Sławomir Grzegorz Leciejewski

Abstract

In the 1980s, computer-aided experimental research became standard in the majority of leading research laboratories. Unfortunately, this shift was not adequately reflected in the professional literature related to the philosophy and methodology of science. A new experimentalism did emerge, aimed at adequately describing experimental practice (to be discussed in the first part of this article); however, in its initial phase, it failed to consider the role of computers in experimental research (discussed in the second part). This oversight by the philosophers of science, the proponents of the new experimentalism, is significant and calls for supplementation (addressed in the fourth part). By the turn of the 20th and 21st centuries, there were numerous philosophical analyses related to computer experiments, such as computer simulations. However, this article focuses only on classic experiments facilitated by various computer systems (e.g., LHC at CERN). In the final part of this article, I will present examples of aspects of experimental work that have not yet been analyzed and could potentially enhance new experimentalism with insights from computer-aided experiments.

Article Details

How to Cite
Leciejewski, S. G. (2023). New experimentalism and computer-aided experiments. Philosophical Problems in Science (Zagadnienia Filozoficzne W Nauce), (75), 107–134. https://doi.org/10.59203/zfn.75.641
Section
Articles
Author Biography

Sławomir Grzegorz Leciejewski, Adam Mickiewicz University in Poznań

Sławomir Leciejewski jest absolwentem fizyki, filozofii i teologii Uniwersytetu im. Adama Mickiewicza w Poznaniu. W 2002 roku na podstawie rozprawy Obserwator w kosmologii antropicznej uzyskał stopień doktora nauk humanistycznych w zakresie filozofii, a w 2014 roku na podstawie monografii Cyfrowa rewolucja w badaniach eksperymentalnych uzyskał stopień doktora habilitowanego.

Publikuje prace z filozofii nauki (kosmologii) i techniki oraz metodologii nauk przyrodniczych. Aktualnie interesuje go równieżfilozofia informatyki.

References

Ackermann, R., 1989. The new experimentalism. The British Journal for the Philosophy of Science, 40(2), pp.185–190. https://doi.org/10.1093/bjps/40.2.185.

Bartz-Beielstein, T., 2005. New experimentalism applied to evolutionary computation. PhD thesis. Dortmund: Technische Universität Dortmund. https://doi.org/10.17877/DE290R-15667.

Bhat, P.C., 2013. Observation of a Higgs-like boson in CMS at the LHC. Nuclear Physics B - Proceedings Supplements. 16th International Conference in Quantum ChromoDynamics, 234, pp.7–14. https://doi.org/10.1016/j.nuclphysbps.2012.11.003.

Bialynicki-Birula, I. and Bialynicka-Birula, I., 2004. Modeling Reality: How Computers Mirror Life. Oxford: Oxford University Press.

Burge, T., 1998. Computer proof, apriori knowledge, and other minds: The sixth philosophical perspectives lecture. Philosophical Perspectives, 12, pp.1–37. Available at: <https://www.jstor.org/stable/2676139> [visited on 27 February 2024].

Crowley-Milling, M.C., 1974. Computer control applied to accelerators. Meeting on Technology Arising from High-Energy Physics. Geneva: CERN, pp.120–128. https://doi.org/10.5170/CERN-1974-009-V-1.120.

Epstein, J.M., 1999. Agent-based computational models and generative social science. Complexity, 4(5), pp.41–60. https://doi.org/10.1002/(SICI)1099-0526(199905/06)4:5<41::AID-CPLX9>3.0.CO;2-F.

Franklin, A., 1986. The Neglect of Experiment. Cambridge University Press. https://doi.org/10.1017/CBO9780511624896.

Franklin, A., 1990. Experiment: Right or Wrong. Cambridge: Cambridge Univ. Press.

Galison, P., 1987. How Experiments End. Chicago, IL: University of Chicago Press. Available at: <https://press.uchicago.edu/ucp/books/book/chicago/H/bo5969426.html> [visited on 20 February 2024].

Galison, P., 1997. Image and Logic: A Material Culture of Microphysics. Chicago, IL: University of Chicago Press. Available at: <https://press.uchicago.edu/ucp/books/book/chicago/I/bo3710110.html> [visited on 20 February 2024].

Giere, R.N., 2009. Is computer simulation changing the face of experimentation? Philosophical Studies, 143(1), pp.59–62. https://doi.org/10.1007/s11098-008-9314-1.

Gilbert, G.N. and Troitzsch, K.G., 2005. Simulation for the Social Scientist. 2nd ed. Maidenhead, England; New York, NY: Open University Press.

Guala, F., 2002. Models, Simulations, and Experiments. In: L. Magnani and N.J. Nersessian, eds. Model-Based Reasoning: Science, Technology, Values. New York, NY: Springer US, pp.59–74. https://doi.org/10.1007/978-1-4615-0605-8_4.

Guala, F., 2008. Paradigmatic Experiments: The Ultimatum Game from Testing to Measurement Device. Philosophy of Science, 75(5), pp.658–669. https://doi.org/10.1086/594512.

Hacking, I., 1983. Representing and Intervening: Introductory Topics in the Philosophy of Natural Science. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511814563.

Hacking, I., 1984. Experimentation and Scientific Realism. In: J. Leplin, ed. Scientific Realism. Berkeley: University of California Press, pp.154–172.

Hacking, I., 1985. Do We See through a Microscope? In: P.M. Churchland, C.A. Hooker and W.a.R.f.B.C.v. Fraassen, eds. Images of Science: Essays on Realism and Empiricism, Science and Its Conceptual Foundations series. Chicago, IL: University of Chicago Press, pp.132–152. Available at: <https://press.uchicago.edu/ucp/books/book/chicago/I/bo5966739.html> [visited on 23 February 2024].

Hacking, I., 1996. The Disunities of the Sciences. In: P. Galison and D. Stump, eds. The Disunity of Science. Stanford, CA: Stanford University Press, pp.37–74.

Hartmann, S., 1996. The World as a Process. In: R. Hegselmann, U. Mueller and K.G. Troitzsch, eds. Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View, Theory and Decision Library. Dordrecht: Springer Netherlands, pp.77–100. https://doi.org/10.1007/978-94-015-8686-3_5.

Higgs, P.W., 1964. Broken symmetries and the massesof gauge bosons. Physical Review Letters, 13(16), pp.508–509. https://doi.org/10.1103/PhysRevLett.13.508.

Hughes, R., 1999. The Ising Model, Computer Simulation, and Universal Physics. In: M.S. Morgan, ed. Models as Mediators: Perspectives on Natural and Social Science, Ideas in context, 52. Cambridge: Cambridge Univ. Press, pp.97–145.

Humphreys, P., 1995. Computational science and scientific method. Minds and Machines, 5(4), pp.499–512. https://doi.org/10.1007/BF00974980.

Kaufmann, W.J. and Smarr, L.L., 1993. Supercomputing and the Transformation of Science. New York: W H Freeman & Co.

Leciejewski, S., 2013. Cyfrowa rewolucja w badaniach eksperymentalnych: studium metodologiczno-filozoficzne, Seria Filozofia i Logika / Uniwersytet im. Adama Mickiewicza w Poznaniu, nr 114. Poznań: Wydawnictwo Naukowe Uniwersytetu im. Adama Mickiewicza.

Leciejewski, S., 2015. The digital revolution in empirical science. E-methodology, 2, pp.9–17. https://doi.org/10.15503/emet2015.9.17.

Leciejewski, S., 2018. Struktura cyfrowej rewolucji naukowej. Philosophical Problems in Science (Zagadnienia Filozoficzne w Nauce), (64), pp.117–136. Available at: <https://www.zfn.edu.pl/index.php/zfn/article/view/429> [visited on 4 February 2021].

Leciejewski, S., 2019. Preface to the special issue on philosophy in computer science. Foundations of Computing and Decision Sciences, 44(1), 3–9.

Lenhard, J., 2007. Computer simulation: The cooperation between experimenting and modeling. Philosophy of Science, 74(2), pp.176–194. https://doi.org/10.1086/519029.

Morgan, M.S., 2003. Experiments without material intervention: model experiments, virtual experiments and virtually experiments. In: H. Radder, ed. The Philosophy of Scientific Experimentation. Pittsburgh, PA: University of Pittsburgh Press, pp.216–235.

Morrison, M., 2009. Models, measurement and computer simulation: the changing face of experimentation. Philosophical Studies, 143(1), pp.33–57. https://doi.org/10.1007/s11098-008-9317-y.

Norton, S.D. and Suppe, F., 2001. Why Atmospheric Modeling Is Good Science. In: C.A. Miller and P.N. Edwards, eds. Changing the Atmosphere: Expert Knowledge and Environmental Governance, Politics, science, and the environment. Cambridge, Mass: MIT Press, pp.88–103. https://doi.org/10.7551/mitpress/1789.003.0006.

Parke, E.C., 2014. Experiments, simulations, and epistemic privilege. Philosophy of Science, 81(4), pp.516–536. https://doi.org/10.1086/677956.

Parker, W.S., 2009. Does matter really matter? Computer simulations, experiments, and materiality. Synthese, 169(3), pp.483–496. https://doi.org/10.1007/s11229-008-9434-3.

Parker, W.S., 2013. Computer Simulation. In: M. Curd and S. Psillos, eds. The Routledge Companion to Philosophy of Science. 2nd ed. Routledge.

Parker, W.S., 2017. Computer simulation, measurement, and data assimilation. The British Journal for the Philosophy of Science, 68(1), pp.273–304. https://doi.org/10.1093/bjps/axv037.

Pelgrom, M.J., 2022. Analog-to-Digital Conversion. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-90808-9.

Peschard, I., 2009. Modeling and Experimenting. In: P. Humphreys and C. Imbert, eds. Models, Simulations, and Representations. London: Routledge, pp.42–61.

Schummer, J., 2021. Why Do Chemists Perform Experiments? In: D. Sobczynska, P. Zeidler and E. Zielonacka-Lis, eds. Chemistry in the Philosophical Melting Pot, Dia-Logos, 5. Frankfurt am Main: Peter Lang, pp.395–410. Available at: <https://www.peterlang.com/document/1097803> [visited on 23 February 2024].

Weinberg, S., 1967. A model of leptons. Physical Review Letters, 19(21), pp.1264–1266. https://doi.org/10.1103/PhysRevLett.19.1264.

Weinberg, S., 1992. Dreams of a Final Theory. 1st ed. New York: Pantheon Books.

Winsberg, E., 2009. A tale of two methods. Synthese, 169(3), pp.575–592. https://doi.org/10.1007/s11229-008-9437-0.

Winsberg, E., 2010. Science in the Age of Computer Simulation. Chicago: University of Chicago Press.

Zeidler, P. and Sobczyńska, D., 1995. The idea of realism in the new experimentalism and the problem of the existence of theoretical entities in chemistry. Foundations of Science, 1(4), pp.517–535. https://doi.org/10.1007/BF00125784.