International Studies in the Philosophy of Science 17 (1):59 – 74 (2003)
|Abstract||Scientific models represent aspects of the empirical world. I explore to what extent this representational relationship, given the specific properties of models, can be analysed in terms of propositions to which truth or falsity can be attributed. For example, models frequently entail false propositions despite the fact that they are intended to say something "truthful" about phenomena. I argue that the representational relationship is constituted by model users "agreeing" on the function of a model, on the fit with data and on the aspects of a phenomenon that are modelled. Model users weigh the propositions entailed by a model and from this decide which of these propositions are crucial to the acceptance and continued use of the model. Thus, models represent phenomena when certain propositions they entail are true, but this alone does not exhaust the representational relationship. Therefore, the constraints that produce the choice of the relevant propositions in a model must also be examined and their analysis contributes to understanding the relationship between models and phenomena|
|Keywords||No keywords specified (fix it)|
|Through your library||Configure|
Similar books and articles
Stephan Hartmann (1995). Models as a Tool for Theory Construction: Some Strategies of Preliminary Physics. In William Herfel et al (ed.), Theories and Models in Scientific Processes. Rodopi.
Ronald Giere (2010). An Agent-Based Conception of Models and Scientific Representation. Synthese 172 (2).
Gabriele Gramelsberger (2011). What Do Numerical (Climate) Models Really Represent? Studies in History and Philosophy of Science 42 (2):296-302.
Ronald N. Giere (2004). How Models Are Used to Represent Reality. Philosophy of Science 71 (5):742-752.
Tarja Knuuttila (2011). Modelling and Representing: An Artefactual Approach to Model-Based Representation. Studies in History and Philosophy of Science 42 (2):262-271.
L. Taper Mark, F. Staples David & B. Shepard Bradley (2008). Model Structure Adequacy Analysis: Selecting Models on the Basis of Their Ability to Answer Scientific Questions. Synthese 163 (3).
Added to index2009-01-28
Total downloads138 ( #3,076 of 549,071 )
Recent downloads (6 months)8 ( #8,860 of 549,071 )
How can I increase my downloads?