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Best, Ryan M.; Goldstone, Robert L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Categorical perception (CP) effects manifest as faster or more accurate discrimination between objects that come from different categories compared with objects that come from the same category, controlling for the physical differences between the objects. The most popular explanations of CP effects have relied on perceptual warping causing…
Descriptors: Bias, Comparative Analysis, Models, College Students
Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
In a highly systematic literature, researchers have investigated the manner in which people make feature inferences in paradigms involving uncertain categorizations (e.g., Griffiths, Hayes, & Newell, 2012; Murphy & Ross, 1994, 2007, 2010a). Although researchers have discussed the implications of the results for models of categorization and…
Descriptors: Models, Classification, Inferences, Cognitive Psychology
Anderson, Rachel J.; Dewhurst, Stephen A.; Nash, Robert A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
Recent literature has argued that whereas remembering the past and imagining the future make use of shared cognitive substrates, simulating future events places heavier demands on executive resources. These propositions were explored in 3 experiments comparing the impact of imagery and concurrent task demands on speed and accuracy of past event…
Descriptors: Cognitive Processes, Futures (of Society), Imagery, Task Analysis
Heit, Evan; Briggs, Janet; Bott, Lewis – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
The authors conducted 3 experiments addressing the issue of how observations and multiple sources of prior knowledge are put together in category learning. In Experiments 1 and 2, learning was faster for critical features, which were predictable on the basis of prior knowledge, than for filler features, and this advantage increased as more…
Descriptors: Prior Learning, Rote Learning, Classification, Simulation