Synthese 16 (3-4):344 - 380 (1966)

Abstract
It is argued that current attempts to model human learning behavior commonly fail on one of two counts: either the model assumptions are artificially restricted so as to permit the application of mathematical techniques in deriving their consequences, or else the required complex assumptions are imbedded in computer programs whose technical details obscure the theoretical content of the model. The first failing is characteristic of so-called mathematical models of learning, while the second is characteristic of computer simulation models. An approach to model building which avoids both these failings is presented under the title of a black-box theory of learning. This method permits the statement of assumptions of any desired complexity in a language which clearly exhibits their theoretical content.Section II of the paper is devoted to the problem of testing and comparing alternative learning theories. The policy advocated is to abandon attempts at hypothesis testing. It is argued that, in general, we not only lack sufficient data and sufficiently powerful techniques to test hypotheses, but that the truth of a model is not really the issue of basic interest. A given model may be true in the sense that on the basis of available evidence we cannot statistically reject it, but not interesting in the sense that it provides little information about the processes underlying behavior. Rather, we should accept or reject models on the basis of how much information they provide about the way in which subjects respond to environmental structure. This attitude toward model testing is made precise by introducing a formal measure of the information content of a model. Finally, it is argued that the statistical concept of degrees-of-freedom is misleading when used in the context of model testing and should be replaced by a measure of the information absorbed from the data in estimating parameters.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1007/BF00485088
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 69,979
External links

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

A Study of Thinking.Jerome S. Bruner, Jacqueline J. Goodnow & George A. Austin - 1958 - Philosophy and Phenomenological Research 19 (1):118-119.
Toward a Statistical Theory of Learning.William K. Estes - 1950 - Psychological Review 57 (2):94-107.

View all 6 references / Add more references

Citations of this work BETA

Philosophy of Science (Wissenschaftstheorie) in Finland.Jaakko Hintikka - 1970 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 1 (1):119-132.

View all 6 citations / Add more citations

Similar books and articles

Analytics

Added to PP index
2009-01-28

Total views
31 ( #368,176 of 2,504,848 )

Recent downloads (6 months)
1 ( #417,030 of 2,504,848 )

How can I increase my downloads?

Downloads

My notes