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Posterror slowing predicts rule-based but not information-integration category learning.
- Source :
-
Psychonomic Bulletin & Review . Dec2013, Vol. 20 Issue 6, p1343-1349. 7p. - Publication Year :
- 2013
-
Abstract
- We examined whether error monitoring, operationalized as the degree to which individuals slow down after committing an error (i.e., posterror slowing), is differentially important in the learning of rule-based versus information-integration category structures. Rule-based categories are most efficiently solved through the application of an explicit verbal strategy (e.g., “sort by color”). In contrast, information-integration categories are believed to be learned in a trial-by-trial, associative manner. Our results indicated that posterror slowing predicts enhanced rule-based but not information-integration category learning. Implications for multiple category-learning systems are discussed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10699384
- Volume :
- 20
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Psychonomic Bulletin & Review
- Publication Type :
- Academic Journal
- Accession number :
- 92671752
- Full Text :
- https://doi.org/10.3758/s13423-013-0441-0