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Psychological Review 1982, Vol. 89, No. 5, 599-607

Summary: Psychological Review
1982, Vol. 89, No. 5, 599-607
Copyright 1982 by the American Psychological Association, Inc.
Deriving Exact Predictions From the Cascade Model
F. Gregory Ashby
Ohio State University
McClelland's (1979) cascade model isinvestigated, and it is shownthat the model
does not have a well-defined reaction time (RT) distribution function because
it always predicts a nonzero probability that a response never occurs. By con-
ditioning on the event that a response does occur, RT density and distribution
functions are derived, thus allowing most RT statistics to be computed directly
and eliminating the need for computer simulations. Using these results, an in-
vestigation of the model revealed that (a) it predicts mean RT additivity in most
cases of pure insertion or selective influence; (b) it predicts only a very small
increase in standard deviations as mean RT increases; and (c) it does not mimic
the distribution of discrete-stage models that have a serial stage with an expo-
nentially distributed duration.
Recently, McClelland (1979) proposed a con-
tinuous-time linear systems model of simple cog-


Source: Ashby, F. Gregory - Department of Psychology, University of California at Santa Barbara


Collections: Biology and Medicine; Computer Technologies and Information Sciences