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Little, Daniel R.; Lewandowsky, Stephan – Journal of Experimental Psychology: Human Perception and Performance, 2009
In probabilistic categorization, also known as multiple cue probability learning (MCPL), people learn to predict a discrete outcome on the basis of imperfectly valid cues. In MCPL, normatively irrelevant cues are usually ignored, which stands in apparent conflict with recent research in deterministic categorization that has shown that people…
Descriptors: Cues, Information Retrieval, Classification, Probability
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Beck, Melissa R.; Angelone, Bonnie L.; Levin, Daniel T. – Journal of Experimental Psychology: Human Perception and Performance, 2004
The visual system continually selects some information for processing while bypassing the processing of other information, and as a consequence, participants often fail to notice large changes to visual stimuli. In the present studies, the authors investigated whether knowledge about the probability of particular changes occurring over time…
Descriptors: Knowledge Level, Prediction, Probability, Visual Stimuli