Literature DB >> 12018500

Limited attention and cue order consistency affect predictive learning: a test of similarity measures.

Michael E Young1, Edward A Wasserman.   

Abstract

The authors empirically tested the similarity metrics underlying 2 predictive-learning theories: J. K. Kruschke's (1992) attention learning covering map and J. M. Pearce's (1987, 1994) configural models. In Experiment 1, participants concurrently learned 3 types of discriminations: simple (A- vs. B+), common cue (XC- vs. XD+), and compound (YE- vs. ZF+). Accuracy was ordered: simple > compound > common cue. Neither model anticipated this ordering. In Experiment 2, cue order in 2-element configurations was either inconsistent (e.g., YE and EY) as in Experiment 1 or consistent (e.g., EY throughout). Although accuracy differences were smaller under consistent ordering, the relative difficulty of the tasks was the same as in Experiment 1. In Experiment 3, common cue and compound discriminations were tested in different participants to determine whether the ordering of difficulty in Experiments 1 and 2 was caused by differential generalization mediated by the number of elements; the ordering was the same as in Experiments 1 and 2. These results suggest the need for differential attention to event presence and absence and to mechanisms that incorporate limited attentional capacity.

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Year:  2002        PMID: 12018500     DOI: 10.1037//0278-7393.28.3.484

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  2 in total

1.  Measures of similarity in models of categorization.

Authors:  Tom Verguts; Eef Ameel; Gert Storms
Journal:  Mem Cognit       Date:  2004-04

2.  Error-driven learning in visual categorization and object recognition: a common-elements model.

Authors:  Fabian A Soto; Edward A Wasserman
Journal:  Psychol Rev       Date:  2010-04       Impact factor: 8.934

  2 in total

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