Learning Correlations in Categorization Tasks Using Large, Ill-Defined Categories
The experiments revealed whether individual participants are sensitive to exemplar information in the form of within-category correlations between stimulus dimensions after training on large overlapping categories. Participants were trained in 1 of 2 categorization conditions. The sign of the correl...
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| Veröffentlicht in: | Journal of experimental psychology. Learning, memory, and cognition memory, and cognition, 1998-01, Vol.24 (1), p.119-143 |
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| container_title | Journal of experimental psychology. Learning, memory, and cognition |
| container_volume | 24 |
| creator | Thomas, Robin D |
| description | The experiments revealed whether individual participants
are sensitive to exemplar information in the form of within-category
correlations between stimulus dimensions after training on large
overlapping categories. Participants were trained in 1 of 2
categorization conditions. The sign of the correlation between
dimensions differed across conditions, but the categorization rules
that best separated the categories were identical. An unannounced
attribute-prediction task followed categorization training. Several
participants produced predictions consistent with the correct
correlation between the dimensions. For other participants, the
predictions reflected the correlation only within the region they
had associated with the given category, even though the categories
overlapped, suggesting that the decision boundary was explicitly
represented in memory. Finally, for other participants, no
correlational information appeared to be accessible for the
prediction task. |
| doi_str_mv | 10.1037/0278-7393.24.1.119 |
| format | Article |
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are sensitive to exemplar information in the form of within-category
correlations between stimulus dimensions after training on large
overlapping categories. Participants were trained in 1 of 2
categorization conditions. The sign of the correlation between
dimensions differed across conditions, but the categorization rules
that best separated the categories were identical. An unannounced
attribute-prediction task followed categorization training. Several
participants produced predictions consistent with the correct
correlation between the dimensions. For other participants, the
predictions reflected the correlation only within the region they
had associated with the given category, even though the categories
overlapped, suggesting that the decision boundary was explicitly
represented in memory. Finally, for other participants, no
correlational information appeared to be accessible for the
prediction task.</description><identifier>ISSN: 0278-7393</identifier><identifier>EISSN: 1939-1285</identifier><identifier>DOI: 10.1037/0278-7393.24.1.119</identifier><identifier>PMID: 9438955</identifier><language>eng</language><publisher>Washington, DC: American Psychological Association</publisher><subject>Biological and medical sciences ; Classification (Cognitive Process) ; Cognition. Intelligence ; Fundamental and applied biological sciences. Psychology ; Human ; Humans ; Learning ; Learning - physiology ; Normal Distribution ; Prediction ; Psychology ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Reasoning. Problem solving ; Stimulus Parameters</subject><ispartof>Journal of experimental psychology. Learning, memory, and cognition, 1998-01, Vol.24 (1), p.119-143</ispartof><rights>1998 American Psychological Association</rights><rights>1998 INIST-CNRS</rights><rights>Copyright American Psychological Association Jan 1998</rights><rights>1998, American Psychological Association</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a533t-1e642eaa3254eb5a0b347e1db8278dfdf17d0fe3a41faeb951a745588cdc6cc73</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4009,27848,27902,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2103740$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9438955$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thomas, Robin D</creatorcontrib><title>Learning Correlations in Categorization Tasks Using Large, Ill-Defined Categories</title><title>Journal of experimental psychology. Learning, memory, and cognition</title><addtitle>J Exp Psychol Learn Mem Cogn</addtitle><description>The experiments revealed whether individual participants
are sensitive to exemplar information in the form of within-category
correlations between stimulus dimensions after training on large
overlapping categories. Participants were trained in 1 of 2
categorization conditions. The sign of the correlation between
dimensions differed across conditions, but the categorization rules
that best separated the categories were identical. An unannounced
attribute-prediction task followed categorization training. Several
participants produced predictions consistent with the correct
correlation between the dimensions. For other participants, the
predictions reflected the correlation only within the region they
had associated with the given category, even though the categories
overlapped, suggesting that the decision boundary was explicitly
represented in memory. Finally, for other participants, no
correlational information appeared to be accessible for the
prediction task.</description><subject>Biological and medical sciences</subject><subject>Classification (Cognitive Process)</subject><subject>Cognition. Intelligence</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Humans</subject><subject>Learning</subject><subject>Learning - physiology</subject><subject>Normal Distribution</subject><subject>Prediction</subject><subject>Psychology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Reasoning. 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Intelligence</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human</topic><topic>Humans</topic><topic>Learning</topic><topic>Learning - physiology</topic><topic>Normal Distribution</topic><topic>Prediction</topic><topic>Psychology</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Reasoning. Problem solving</topic><topic>Stimulus Parameters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thomas, Robin D</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 50</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>APA PsycArticles®</collection><collection>ProQuest One Psychology</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of experimental psychology. Learning, memory, and cognition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thomas, Robin D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Learning Correlations in Categorization Tasks Using Large, Ill-Defined Categories</atitle><jtitle>Journal of experimental psychology. Learning, memory, and cognition</jtitle><addtitle>J Exp Psychol Learn Mem Cogn</addtitle><date>1998-01</date><risdate>1998</risdate><volume>24</volume><issue>1</issue><spage>119</spage><epage>143</epage><pages>119-143</pages><issn>0278-7393</issn><eissn>1939-1285</eissn><abstract>The experiments revealed whether individual participants
are sensitive to exemplar information in the form of within-category
correlations between stimulus dimensions after training on large
overlapping categories. Participants were trained in 1 of 2
categorization conditions. The sign of the correlation between
dimensions differed across conditions, but the categorization rules
that best separated the categories were identical. An unannounced
attribute-prediction task followed categorization training. Several
participants produced predictions consistent with the correct
correlation between the dimensions. For other participants, the
predictions reflected the correlation only within the region they
had associated with the given category, even though the categories
overlapped, suggesting that the decision boundary was explicitly
represented in memory. Finally, for other participants, no
correlational information appeared to be accessible for the
prediction task.</abstract><cop>Washington, DC</cop><pub>American Psychological Association</pub><pmid>9438955</pmid><doi>10.1037/0278-7393.24.1.119</doi><tpages>25</tpages></addata></record> |
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| ispartof | Journal of experimental psychology. Learning, memory, and cognition, 1998-01, Vol.24 (1), p.119-143 |
| issn | 0278-7393 1939-1285 |
| language | eng |
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| source | MEDLINE; Periodicals Index Online; APA PsycARTICLES |
| subjects | Biological and medical sciences Classification (Cognitive Process) Cognition. Intelligence Fundamental and applied biological sciences. Psychology Human Humans Learning Learning - physiology Normal Distribution Prediction Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Reasoning. Problem solving Stimulus Parameters |
| title | Learning Correlations in Categorization Tasks Using Large, Ill-Defined Categories |
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