Awareness of category rule learning
نویسندگان
چکیده
منابع مشابه
Ego depletion interferes with rule-defined category learning but not non-rule-defined category learning
Considerable research on category learning has suggested that many cognitive and environmental factors can have a differential effect on the learning of rule-defined (RD) categories as opposed to the learning of non-rule-defined (NRD) categories. Prior research has also suggested that ego depletion can temporarily reduce the capacity for executive functioning and cognitive flexibility. The pres...
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Two experiments were conducted that provide a test of the predicted interaction between within-category discontinuity and verbal rule complexity on the efficiency of the neurobiologically-motivated procedural-based and hypothesis-testing category learning systems, and by extension, on information-integration and rule-based category learning. In Experiment 1, within-category discontinuity advers...
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The brain regions contributing to rule-based category learning were examined using fMRI. Participants categorized single lines that varied in length and orientation into one of two categories. Category membership was based on the length of the line. Results indicated that left frontal and parietal regions were differentially activated in those participants who learned the task as compared to th...
متن کاملCategory number impacts rule-based and information-integration category learning: a reassessment of evidence for dissociable category-learning systems.
Researchers have proposed that an explicit reasoning system is responsible for learning rule-based category structures and that a separate implicit, procedural-learning system is responsible for learning information-integration category structures. As evidence for this multiple-system hypothesis, researchers report a dissociation based on category-number manipulations in which rule-based catego...
متن کاملCategory number impacts rule-based but not information-integration category learning: further evidence for dissociable category-learning systems.
Category number effects on rule-based and information-integration category learning were investigated. Category number affected accuracy and the distribution of best-fitting models in the rule-based task but had no effect on accuracy and little effect on the distribution of best-fining models in the information-integration task. In the 2 category conditions, rule-based learning was better than ...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2018
ISSN: 1534-7362
DOI: 10.1167/18.10.402