Category learning in a transitive inference paradigm.
The implied order of a ranked set of visual images can be learned without reliance on information that explicitly signals their order. Such learning is difficult to explain by associative mechanisms, but can be accounted for by cognitive representations and processes such as transitive inference. Ou...
| Publicado en: | Memory & Cognition Vol. 49; no. 5; pp. 1020 - 1036 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jul2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=151125794&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 151125794 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0090502X MEG jtl: Memory & Cognition issn: 0090502X maglogo: N pubinfo: dt: Jul2021 vid: 49 iid: 5 pid: 237 pub: Springer Nature artinfo: ui: 151125794 10.3758/s13421-020-01136-z ppf: 1020 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 3.8MB tig: atl: Category learning in a transitive inference paradigm. aug: au: Jensen, Greg Kao, Tina Michaelcheck, Charlotte Borge, Saani Simms Ferrera, Vincent P. Terrace, Herbert S. affil: Department of Neuroscience, Columbia University, New York, NY, USA Zuckerman Mind Brain Behavior Institute, Columbia University, 3227 Broadway, 10027, New York, NY, USA Department of Psychology, Columbia University, New York, NY, USA Department of Psychology, Barnard College, New York, NY, USA Department of Psychology, New York City College of Technology, CUNY, New York, NY, USA Department of Psychiatry, Columbia University, New York, NY, USA su: Teaching methods Cognition Student attitudes Speech perception Auditory perception Audiovisual materials Learning strategies Prompts (Psychology) Space perception Educational outcomes sug: subj: Teaching methods Cognition Student attitudes Speech perception Auditory perception Audiovisual materials Learning strategies Prompts (Psychology) Space perception Educational outcomes keyword: Categorization Serial learning Symbolic distance effect Transitive inference Categorization Serial learning Symbolic distance effect Transitive inference ab: The implied order of a ranked set of visual images can be learned without reliance on information that explicitly signals their order. Such learning is difficult to explain by associative mechanisms, but can be accounted for by cognitive representations and processes such as transitive inference. Our study sought to determine if those processes also apply to learning categories of images. We asked whether participants can (a) infer that stimulus images belonged to familiar categories, even when the images for each trial were unique, and (b) sort those categories into an ordering that obeys transitivity. Participants received minimal verbal instruction and a single session of training. Despite this, they learned the implied order of lists of fixed stimuli and lists of ordered categories, using trial-unique exemplars. We trained two groups, one for which stimuli were constant throughout training and testing (n = 60), and one for which exemplars of each category were trial-unique (n = 50). Our findings suggest that differing cognitive processes may underpin serial learning when learning about specific stimuli as opposed to stimulus categories. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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