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- W2136921382 abstract "The Exemplar-Based Random Walk (EBRW) model (Nosofsky & Palmeri, 1997; Palmeri, 1997) incorporates elements of Nosofsky’s (1986) generalized context model (GCM) of categorization and Logan’s (1988) instance theory of automaticity. The model assumes that categories are represented in terms of stored exemplars. Exemplars are represented as points in a multidimensional psychol ogical space with similarity a decreasing function of distance in the space. During categorization, exemplars race to be retrieved fro m memory with rates determined by their similarity to the presented object. Memory retrieval drives a random walk decision proces s. The model accounts for categorization response times and accuracies in a variety of tasks. Moreover, it acc ounts for the development of automaticity in categorization and for categorization in cluttered environments." @default.
- W2136921382 created "2016-06-24" @default.
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- W2136921382 date "1997-01-01" @default.
- W2136921382 modified "2023-09-27" @default.
- W2136921382 title "An Exemplar-Based Random Walk Model of Perceptual Categorization" @default.
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