David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Puzzle solving in normal science involves a process of accommodation—auxiliary assumptions are changed, and parameter values are adjusted so as to eliminate the known discrepancies with the data. Accommodation is often contrasted with prediction. Predictions happen when one achieves a good fit with novel data without accommodation. So, what exactly is the distinction, and why is it important? The distinction, as I understand it, is relative to a model M and a data set D, where M is a set of equations with adjustable parameters (i. e., M is a family of equations with no free parameters). Definition: Model M predicts data D if and only if either (a) all members of M fit D well, or (b) a particular predictive hypothesis is selected from M by fitting M to other data, and the fitted model fits D well. M merely accommodates D if and only if (i) M does not predict D, and (ii) the predictive hypothesis selected from M using other data does not fit D well. There will be cases in which a model M neither predicts nor accommodates D. These are the cases in which we are willing to say that data falsifies the model. So, the distinction between prediction and accommodation applies only when there is no falsification.
|Keywords||No keywords specified (fix it)|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
James Franklin (2005). Probability Theory: The Logic of Science. [REVIEW] Mathematical Intelligencer 27 (2):83-85.
Christopher Hitchcock & Elliott Sober (2004). Prediction Versus Accommodation and the Risk of Overfitting. British Journal for the Philosophy of Science 55 (1):1-34.
Todd Harris (2003). Data Models and the Acquisition and Manipulation of Data. Philosophy of Science 70 (5):1508-1517.
Marc Lange (2001). The Apparent Superiority of Prediction to Accommodation as a Side Effect: A Reply to Maher. British Journal for the Philosophy of Science 52 (3):575-588.
Lee C. McIntyre (2001). Accomodation, Prediction, and Confirmation. Perspectives on Science 9 (3):308-323.
Stanley A. Mulaik (2001). The Curve-Fitting Problem: An Objectivist View. Philosophy of Science 68 (2):218-241.
William Harper (2007). Newton's Methodology and Mercury's Perihelion Before and After Einstein. Philosophy of Science 74 (5):932-942.
David Harker (2006). Accommodation and Prediction: The Case of the Persistent Head. British Journal for the Philosophy of Science 57 (2):309-321.
Joseph F. Hanna (1969). Explanation, Prediction, Description, and Information Theory. Synthese 20 (3):308 - 334.
Added to index2009-01-28
Total downloads13 ( #122,531 of 1,102,836 )
Recent downloads (6 months)1 ( #296,987 of 1,102,836 )
How can I increase my downloads?