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- W2171008020 abstract "An exponential-decay relationship between the probability of generalization and psychological distance has received considerable support from studies of stimulus generalization ( Shepard, 1958 ) and categorization ( Nosofsky, 1984 ). It is shown here how an approximate exponential generalization gradient emerges from stimulus representation assumptions isomorphic to a special case of Shepard's (1987) theory of stimulus generalization in a “configuralcue” network model of human learning that represents stimulus patterns in terms of elementary features and pairwise conjunctions of features ( Gluck & Bower, 1988b ; Gluck, Bower, & Hee, 1989 ). The network model can be viewed as a combination of Shepard's theory and an associative learning rule derived from Rescorla and Wagner's (1972) theory of classical conditioning." @default.
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- W2171008020 date "1991-01-01" @default.
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- W2171008020 title "Stimulus Generalization and Representation in Adaptive Network Models of Category Learning" @default.
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- W2171008020 doi "https://doi.org/10.1111/j.1467-9280.1991.tb00096.x" @default.
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