Speeded classification in a probabilistic category structure: contrasting exemplar-retrieval, decision-boundary, and prototype models.

Classification response times in probabilistic rule-based category structures: contrasting exemplar-retrieval and decision-boundary models.

Experiments were conducted to contrast the predictions from exemplar models and rule-based decision-boundary models of perceptual classification. Observers classified multidimensional stimuli into categories that could be described in terms of easily verbalized logical rules. The critical manipulation was that some pairs of stimuli received probabilistic feedback, whereas other control pairs re...

Classification Response Times in Probabilistic Rule-Based Category Structures: Contrasting Exemplar-Retrieval and Decision-Bound Models

Effects of similarity and practice on speeded classification response times and accuracies: further tests of an exemplar-retrieval model.

Observers were tested in a perceptual category-learning experiment in which they were instructed to make classification decisions as rapidly as possible without making errors. Nosofsky and Palmeri's (1997b) exemplar-based random walk (EBRW) model of speeded classification was tested for its ability to fit the classification response times and accuracies. The authors demonstrated that the EBRW m...

Sequence-sensitive exemplar and decision-bound accounts of speeded-classification performance in a modified Garner-tasks paradigm.

Among the most fundamental results in the area of perceptual classification are the "correlated facilitation" and "filtering interference" effects observed in Garner's (1974) speeded categorization tasks: In the case of integral-dimension stimuli, relative to a control task, single-dimension classification is faster when there is correlated variation along a second dimension, but slower when th...

Array models for category learning.

A family of models for category learning is developed, all members being based on a common memory array but differing in memory access and decision processes. Within this framework, fully controlled comparisons of exemplar-similarity, feature-frequency, and prototype models reveal isomorphism between models of different types under some conditions but empirically testable differences under othe...