Computational models

Proceedings of the Philosophy of Science Association 2002 (3):S1-S11 (2002)
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Abstract

A different way of thinking about how the sciences are organized is suggested by the use of cross‐disciplinary computational methods as the organizing unit of science, here called computational templates. The structure of computational models is articulated using the concepts of construction assumptions and correction sets. The existence of these features indicates that certain conventionalist views are incorrect, in particular it suggests that computational models come with an interpretation that cannot be removed as well as a prior justification. A form of selective realism is described which denies that one can simply read the ontological commitments from the theory itself.

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2009-01-28

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Paul Humphreys
University of Virginia

Citations of this work

Modelling and representing: An artefactual approach to model-based representation.Tarja Knuuttila - 2011 - Studies in History and Philosophy of Science Part A 42 (2):262-271.
Modelling as Indirect Representation? The Lotka–Volterra Model Revisited.Tarja Knuuttila & Andrea Loettgers - 2017 - British Journal for the Philosophy of Science 68 (4):1007-1036.
Introspection Is Signal Detection.Jorge Morales - forthcoming - British Journal for the Philosophy of Science.
Knowledge transfer across scientific disciplines.Paul Humphreys - 2019 - Studies in History and Philosophy of Science Part A 77:112-119.

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References found in this work

Computer Simulations.Paul Humphreys - 1990 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:497 - 506.
Computational science and scientific method.Paul Humphreys - 1995 - Minds and Machines 5 (4):499-512.

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