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• W173674977 abstract "People can become sensitive to the structural regularities of an artificial grammar without awareness. After experiencing a set of representative exemplars people are abie to classify novel exemplars with above chance accuracy. Numerous accounts of this form of implicit learning emphasize the automatic abstraction of structure. However. because these accounts ignore the functional nature of structural processing. they may be insufficient to axplain Ihe variability found in performance. A new approach to implicit learning, the episodic-processing account, emphasizes that different purposes for ncountering exernptars of a grammar will cause critically different operations to be performed on particular aspects of stimulus structure. In the experiments onducted, manipulation of the demands of the task in which exemplars were dentally encountered and encoded was shown to radically modify the nature of the knowledge base acquired in implicit learning. Coding of particular properties of exemplars, under the guidance of the different purposes given to incidentally encounter items. sponsored: 1) distributed representations of the deep structural features of individual items; 2) representations of the surface structural features of the entire set; 3) representations of the deep structural features of the entire set, and; 4) possibly, context-specific representations of the surface structural features of individual items. It is concluded that memory does not automatically abstract structure; instead, memory performs and preserves whatever operations are functional in satisfying current demands." @default.
• W173674977 created "2016-06-24" @default.
• W173674977 creator A5074707916 @default.
• W173674977 date "1992-01-01" @default.
• W173674977 modified "2023-09-24" @default.
• W173674977 title "An episodic-processing account of implicit grammar learning : preservation of the functional operations performed on particular aspects of item structure" @default.
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