Le réalisme structural face au problème de la mesure
DOI:
https://doi.org/10.20416/lsrsps.v3i1.233Keywords:
réalisme structural, problème de la mesure, mécanique quantiqueAbstract
Structural realism attempts to make a compromise between scientific realism and empiricism, by restricting our realist commitment to the relational structure of scientific theories. There are two main versions of the position: ontic, or epistemic. According to ontic structural realism, the nomological relations expressed by theories are the primitive entities of reality. This ontic version is motivated in particular by arguments to the effect that epistemic versions are not really distinct from mere empiricism. However according to some authors, it’s not clear that ontic structural realism can differentiate between physical and mathematical relations, and account for the relations between scientific theories and their experimental basis. These difficulties can be related to the measurement problem in quantum mechanics, which also concerns the link between theoretical models and experiments. It appears that epistemic structural realism is in a better position to respond to these difficulties. A compromise between both versions of structural realism could allow us to keep the advantages of both.
References
CAO, Tian Yu. 2003. Can We Dissolve Physical Entities into Mathematical Structures? Synthese, 136(1), 57-71.
DAWID, Richard, THÉBAULT, Karim. 2014. Against the empirical viability of the Deutsch–Wallace–Everett approach to quantum mechanics. Studies in History and Philosophy of Modern Physics, 47, 55–61.
DEMOPOULOS, William, FRIEDMAN, Michael. 1985. Bertrand Russell’s the Analysis of Matter: Its Historical Context and Contemporary Interest. Philosophy of Science, 52(4), 621–639.
ESFELD, Michael. 2013. Ontic structural realism and the interpretation of quantum mechanics. European Journal for Philosophy of Science, 3(1), 19–32.
FRENCH, Steven. 2014. The Structure of the World: Metaphysics and Representation. Oxford : Oxford University Press.
FRENCH, Steven, LADYMAN, James. 2003. Remodelling structural realism: Quantum physics and the metaphysics of structure. Synthese, 136(1), 31–56.
LADYMAN, James. 1998. What is structural realism? Studies in History and Philosophy of Science, 29, 409–424.
LAUDAN, Larry. 1981. A Confutation of Convergent Realism. Philosophy of Science, 48(1), 19–49.
MAUDLIN, Tim. 1995. Three Measurement Problems. Topoi, 14(1), 7–15.
MELIA, Joseph, SAATSI, Juha. 2006. Ramseyfication and Theoretical Content. British Journal for the Philosophy of Science, 57(3), 561–585.
NEWMAN, Maxwell. 1928. Mr. Russell’s Causal Theory of Perception. Mind, 5(146), 26–43.
PSILLOS, Stathis. 2006. The Structure, the Whole Structure, and Nothing but the Structure? Philosophy of Science, 73(5), 560–570.
PSILLOS, Stathis. 2012. Adding Modality to Ontic Structuralism: An Exploration and Critique. In LANDRY, Elaine M., RICKLES, Dean P. (eds.), Structural Realism: Structure, Object, and Causality. Dordrecht : Springer.
PUTNAM, Hilary. 1975. Mathematics, Matter, and Method. New York : Cambridge University Press.
ROVELLI, Carlo. 1996. Relational Quantum Mechanics. International Journal of Theoretical Physics, 35, 1637–1678.
RUSSELL, Bertrand. 1927. L’Analyse de la matière. Paris : Payot.
VOTSIS, Ioannis. 2012. Tracing the Development of Structural Realism. Disponible sur le site de l’auteur: http://www.votsis.org/PDF/Structuralism_in_Natural_Science.pdf
WALLACE, David. 2007. Quantum Probability From Subjective Likelihood: Improving on Deutsch’s Proof of the Probability Rule. Studies in History and Philosophy of Modern Physics, 38(2), 311–332.
WORRALL, John. 1989. Structural Realism: The Best of Both Worlds? Dialectica, 43(1-2), 99–124.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.