Better learning with more error: probabilistic feedback increases sensitivity to correlated cues in categorization.

Abstract

Despite the fact that categories are often composed of correlated features, the evidence that people detect and use these correlations during intentional category learning has been overwhelmingly negative to date. Nonetheless, on other categorization tasks, such as feature prediction, people show evidence of correlational sensitivity. A conventional… (More)
DOI: 10.1037/a0015902

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