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Autor/inn/enWaismeyer, Anna; Meltzoff, Andrew N.; Gopnik, Alison
TitelCausal Learning from Probabilistic Events in 24-Month-Olds: An Action Measure
QuelleIn: Developmental Science, 18 (2015) 1, S.175-182 (8 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1363-755X
DOI10.1111/desc.12208
SchlagwörterToddlers; Young Children; Probability; Causal Models; Intervention; Influences; Observational Learning; Problem Solving
AbstractHow do young children learn about causal structure in an uncertain and variable world? We tested whether they can use observed probabilistic information to solve causal learning problems. In two experiments, 24-month-olds observed an adult produce a probabilistic pattern of causal evidence. The toddlers then were given an opportunity to design their own intervention. In Experiment 1, toddlers saw one object bring about an effect with a higher probability than a second object. In Experiment 2, the frequency of the effect was held constant, though its probability differed. After observing the probabilistic evidence, toddlers in both experiments chose to act on the object that was more likely to produce the effect. The results demonstrate that toddlers can learn about cause and effect without trial-and-error or linguistic instruction on the task, simply by observing the probabilistic patterns of evidence resulting from the imperfect actions of other social agents. Such "observational causal learning" from probabilistic displays supports human children's rapid cultural learning. (As Provided).
AnmerkungenWiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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