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In computational cognitive science, generalized context model refers to exemplar model of classification in which selective attention stretches the psychological space so that category decisions reflect weighted similarity to stored exemplars. This meaning comes from Nosofsky (1986) in Journal of Experimental Psychology: General.[1]
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