Computational empiricism
Foundations of Science 1 (1) (1995)
| Abstract | I argue here for a number of ways that modern computational science requires a change in the way we represent the relationship between theory and applications. It requires a switch away from logical reconstruction of theories in order to take surface mathematical syntax seriously. In addition, syntactically different versions of the same theory have important differences for applications, and this shows that the semantic account of theories is inappropriate for some purposes. I also argue against formalist approaches in the philosophy of science and for a greater role for perceptual knowledge rather than propositional knowledge in scientific empiricism. | |||||||||
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Paul Thagard (1986). Computational Models in the Philosophy of Science. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:329 - 335.
James Ladyman (2000). What's Really Wrong with Constructive Empiricism? Van Fraassen and the Metaphysics of Modality. British Journal for the Philosophy of Science 51 (4):837-856.
Kathleen Okruhlik (2004). Logical Empiricism, Feminism, and Neurath's Auxiliary Motive. Hypatia 19 (1):48-72.
Michael Rescorla (forthcoming). Against Structuralist Theories of Computational Implementation. British Journal for the Philosophy of Science.
Paul Humphreys (1990). Computer Simulations. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:497 - 506.
Paul Thagard (2005). Review of Paul Humphreys, Extending Ourselves: Computational Science, Empiricism, and Scientific Method. [REVIEW] Notre Dame Philosophical Reviews 2005 (6).
Paul Bohan Broderick, Johannes Lenhard & Arnold Silverberg (2006). Dispositional Versus Epistemic Causality. Minds and Machines 16 (3).
A. Gupta (2006). Empiricism and Experience. Harvard University Press.
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