Results 251 to 260 of about 131,744 (288)

Visual Feature Learning in Artificial Grammar Classification.

Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
The Artificial Grammar Learning task has been used extensively to assess individuals' implicit learning capabilities. Previous work suggests that participants implicitly acquire rule-based knowledge as well as exemplar-specific knowledge in this task.
Grace Y, Chang, Barbara J, Knowlton
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Measuring strategic control in artificial grammar learning

Consciousness and Cognition, 2011
In response to concerns with existing procedures for measuring strategic control over implicit knowledge in artificial grammar learning (AGL), we introduce a more stringent measurement procedure. After two separate training blocks which each consisted of letter strings derived from a different grammar, participants either judged the grammaticality of ...
Elisabeth, Norman, Mark C, Price, Emma, Jones   +2 more
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Implicit learning of artificial grammars

Journal of Verbal Learning and Verbal Behavior, 1967
Two experiments were carried out to investigate the process by which Ss respond to the statistical nature of the stimulus array, a process defined as “implicit learning”. An artificial grammar was used to generate the stimuli. Experiment I showed that Ss learned to become increasingly sensitive to the grammatical structure of the stimuli, but little ...
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Artificial grammar learning in animals

Magyar Pszichológiai Szemle, 2010
Jelen cikkben áttekintem az elmúlt másfél évtized összehasonlító pszichológiai mesterséges nyelvtan kísérleteit. Az állatok mesterséges nyelvtan tanulása a statisztikai tanulást, algebrai tanulást és hierarchikus szabálytanulást megcélozva kerül bemutatásra.
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Learning artificial grammars with competitive chunking.

Journal of Experimental Psychology: Learning, Memory, and Cognition, 1990
Abstract : When exposed to a regular stimulus field, for instance generated by an artificial grammar, subjects unintentionally learn to respond efficiently to the underlying structure: Miller (1958) reports that subjects memorize letter strings generated by an artificial grammar faster than randomly generated strings.
Emile Servan-Schreiber, John R. Anderson
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Goal relevance and artificial grammar learning.

Quarterly journal of experimental psychology (2006), 2009
This investigation used a newly developed artificial grammar learning (AGL) paradigm in which participants were exposed to sequences of stimuli that varied in two dimensions (colours and letters) that were superimposed on each other. Variation within each dimension was determined by a different grammar.
Baruch, Eitam, Yaacov, Schul, Ran R, Hassin   +2 more
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Artificial grammar learning in individuals with severe aphasia

Neuropsychologia, 2014
One factor in syntactic impairment in aphasia might be damage to general structure processing systems. In such a case, deficits would be evident in the processing of syntactically structured non-linguistic information. To explore this hypothesis, we examined performances on artificial grammar learning (AGL) tasks in which the grammar was expressed in ...
Vitor C, Zimmerer, Patricia E, Cowell, Rosemary A, Varley   +2 more
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Similarity and Confidence in Artificial Grammar Learning

Experimental Psychology, 2010
Three experiments examined the relationship between similarity ratings and confidence ratings in artificial grammar learning. In Experiment 1 participants rated the similarity of test items to study exemplars. Regression analyses revealed these to be related to some of the objective measures of similarity that have previously been implicated in ...
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Conscious and unconscious thought in artificial grammar learning

Consciousness and Cognition, 2012
Unconscious Thought Theory posits that a period of distraction after information acquisition leads to unconscious processing which enhances decision making relative to conscious deliberation or immediate choice (Dijksterhuis, 2004). Support thus far has been mixed.
Andy David, Mealor, Zoltan, Dienes
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The information acquired during artificial grammar learning.

Journal of Experimental Psychology: Learning, Memory, and Cognition, 1994
In an artificial grammar learning task, amnesic patients classified test items as well as normal subjects did. Item similarity did not affect grammaticality judgments when similar and nonsimilar test items were balanced for the frequency with which bigrams and trigrams (chunks) that appeared in the training set also appeared in the test items.
B J, Knowlton, L R, Squire
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