E-Book, Englisch, Band 262, 266 Seiten, eBook
Reihe: Boston Studies in the Philosophy and History of Science
Frigg / Hunter Beyond Mimesis and Convention
1. Auflage 2010
ISBN: 978-90-481-3851-7
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
Representation in Art and Science
E-Book, Englisch, Band 262, 266 Seiten, eBook
Reihe: Boston Studies in the Philosophy and History of Science
ISBN: 978-90-481-3851-7
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
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Weitere Infos & Material
Telling Instances.- Models: Parables v Fables.- Truth and Representation in Science: Two Inspirations from Art.- Learning Through Fictional Narratives in Art and Science.- Models as Make-Believe.- Fiction and Scientific Representation.- Fictional Entities, Theoretical Models and Figurative Truth.- Visual Practices Across the University.- Experiment, Theory, Representation: Robert Hooke’s Material Models.- Lost in Space: Consciousness and Experiment in the Work of Irwin and Turrell.- Art and Neuroscience.
"Models: Parables v Fables (S. 19-20)
Nancy Cartwright
How Fables and Parables Help Us Understand the Use of Models: A Short Survey of This Paper
Models of different kinds appear throughout the natural and social sciences serving a variety of different ends. This paper will discuss one particular kind of model whose purpose is opaque: the “highly idealized” model, prevalent in physics and economics but widely used elsewhere as well. Models of this kind study the behavior of stripped-down systems in unrealistic circumstances.
The models may study balls rolling down totally frictionless totally stable planes (Galileo 1914, 61–69), or laborers of only two kinds—old and young—concerned only with leisure and income (Pissarides 1992), or, as in Thomas Schelling’s famous model, black and white checkers moving according to artificial rules on a checkerboard, ending up in clumps of similar color (Cartwright 2009a, Schelling 2000). The objects and situations pictured in these models are very unlike real objects in the real world of interest to the sciences. Yet they are supposed to teach something, indeed something important, about that real world. How?
I am going to defend the use of descriptions of highly unrealistic situations to learn about real-life situations. That, I maintain, is just what Galileo did in his famous rolling-ball experiments. He honed his planes to make them as smooth as possible, and bolted them down, to learn about the effects of gravity acting on its own. Models I urge are often experiments in thought about what would happen in a real experiment like Galileo’s if only it could be conducted: What would happen were we able to create just the right artificial situation to see the feature under study acting all on its own, without any other causes interfering to mask its effect?
That however is not enough. Doing what Galileo did sounds a good thing. But Galileo’s results are still results about the behavior of balls rolling down totally frictionless planes. We don’t have any such planes and anyway what we really want to know is about canon balls and rocket ships. How do we get from a Galilean conclusion: “The pull of the earth induces an acceleration of 32 ft/sec/sec in balls rolling down totally frictionless totally stable planes”—to a result about cannonballs, teetering coffee cups or rocket ships?
I shall here repeat an earlier answer of mine, that these models are like fables, for instance like this fable that I shall discuss below: A marten eats the grouse; A fox throttles the marten; the tooth of the wolf, the fox. Moral: the weaker are always prey to the stronger. Like the characters in the fable, the objects in the model are highly special and do not in general resemble the ones we want to learn about. Just as I have never seen a frictionless plane or a worker interested only in leisure and income, I don’t think I have ever seen a marten, and seldom a wolf.
But the conclusion of the model, like the moral of the fable, can be drawn in a vocabulary abstract enough to describe the things we do want to learn about. For instance, we conclude from Galileo’s experiment, “The pull of the earth induces a downwards acceleration in massive objects of 32 ft/sec/sec”."