Modeling High-Temperature Superconductors: Correspondence at Bay?

In Lena Soler (ed.), Rethinking Scientific Change. Stabilities, Ruptures, Incommensurabilities? Springer. pp. 107--128 (2008)
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Abstract

How does a predecessor theory relate to its successor? According to Heinz Post’s General Correspondence Principle, the successor theory has to account for the em- pirical success of its predecessor. After a critical discussion of this principle, I outline and discuss various kinds of correspondence relations that hold between successive scientific theories. I then look in some detail at a case study from contemporary physics: the various proposals for a theory of high-temperature superconductivity. The aim of this case study is to understand better the prospects and the place of a methodological principle such as the Generalized Correspondence Principle. Generalizing from the case study, I will then argue that some such principle has to be considered, at best, as one tool that might guide scientists in their theoriz- ing. Finally I present a tentative account of why principles such as the Generalized Correspondence Principle work so often and why there is so much continuity in scientific theorizing.

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Stephan Hartmann
Ludwig Maximilians Universität, München

Citations of this work

Modelle.Stephan Hartmann & Daniela Bailer-Jones - 2010 - In Hans Jörg Sandkühler (ed.), Enzyklopädie Philosophie. Meiner Verlag. pp. 1627-1632.
Introducción: Modelos y teorías en biología.Pablo Lorenzano - 2016 - Metatheoria – Revista de Filosofía E Historia de la Ciencia 6:5--46.

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References found in this work

The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - Chicago, IL: University of Chicago Press. Edited by Ian Hacking.
The Structure of Scientific Revolutions.Thomas Samuel Kuhn - 1962 - Chicago: University of Chicago Press. Edited by Otto Neurath.
Models in Science (2nd edition).Roman Frigg & Stephan Hartmann - 2021 - The Stanford Encyclopedia of Philosophy.
The structure of empirical knowledge.Laurence BonJour - 1985 - Cambridge, Mass.: Harvard University Press.
Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press. Edited by Stephan Hartmann.

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