Approximations, Idealizations, and Models in Statistical Mechanics
Erkenntnis 60 (2):235-263 (2004)
| Abstract | In this paper, a criticism of the traditional theories of approximation and idealization is given. After identifying the real purpose and measure of idealization in the practice of science, it is argued that the best way to characterize idealization is not to formulate a logical model -- something analogous to Hempel's D-N model for explanation -- but to study its different guises in the praxis of science. A case study of it is then made in thermostatistical physics. After a brief sketch of the theories for phase transitions and critical phenomena, I examine the various idealizations that go into the making of models at three difference levels. | |||||||||
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Andrew Wayne (2011). Expanding the Scope of Explanatory Idealization. Philosophy of Science 78 (5):830-841.
Ronald Laymon (1990). Computer Simulations, Idealizations and Approximations. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:519 - 534.
Stephan Hartmann (1998). Idealization in Quantum Field Theory. In Niall Shanks (ed.), Idealization in Contemporary Physics.
Chuang Liu (2004). Laws and Models in a Theory of Idealization. Synthese 138 (3):363 - 385.
Donato Rodriguez Xavier & Arroyo-Santos Alfonso (2012). The Structure of Idealization in Biological Theories: The Case of the Wright-Fisher Model. JOURNAL FOR GENERAL PHILOSOPHY OF SCIENCE.
Chuang Liu (2004). Laws and Models in a Theory of Idealization. Synthese 138 (3):363 - 385.
John D. Norton (2012). Approximation and Idealization: Why the Difference Matters. Philosophy of Science 79 (2):207-232.
Chuang Liu (2004). Approximations, Idealizations, and Models in Statistical Mechanics. Erkenntnis 60 (2):235-263.
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