Literature DB >> 25041264

Causal learning from probabilistic events in 24-month-olds: an action measure.

Anna Waismeyer1, Andrew N Meltzoff, Alison Gopnik.   

Abstract

How 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.
© 2014 John Wiley & Sons Ltd.

Entities:  

Mesh:

Year:  2014        PMID: 25041264     DOI: 10.1111/desc.12208

Source DB:  PubMed          Journal:  Dev Sci        ISSN: 1363-755X


  8 in total

1.  Probability Learning: Changes in Behavior Across Time and Development.

Authors:  Rista C Plate; Jacqueline M Fulvio; Kristin Shutts; C Shawn Green; Seth D Pollak
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2.  The development of reasoning by exclusion in infancy.

Authors:  Roman Feiman; Shilpa Mody; Susan Carey
Journal:  Cogn Psychol       Date:  2022-03-28       Impact factor: 3.746

3.  Young children's use of probabilistic reliability and base-rates in decision-making.

Authors:  Samantha Gualtieri; Elizabeth Attisano; Stephanie Denison
Journal:  PLoS One       Date:  2022-05-25       Impact factor: 3.752

4.  Imitation as a mechanism in cognitive development: a cross-cultural investigation of 4-year-old children's rule learning.

Authors:  Zhidan Wang; Rebecca A Williamson; Andrew N Meltzoff
Journal:  Front Psychol       Date:  2015-05-13

5.  Toddlers favor communicatively presented information over statistical reliability in learning about artifacts.

Authors:  Hanna Marno; Gergely Csibra
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

Review 6.  The case of CAUSE: neurobiological mechanisms for grounding an abstract concept.

Authors:  Friedemann Pulvermüller
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-08-05       Impact factor: 6.237

7.  A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning.

Authors:  Michael Jae-Yoon Chung; Abram L Friesen; Dieter Fox; Andrew N Meltzoff; Rajesh P N Rao
Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

8.  Causal illusions in children when the outcome is frequent.

Authors:  María Manuela Moreno-Fernández; Fernando Blanco; Helena Matute
Journal:  PLoS One       Date:  2017-09-12       Impact factor: 3.240

  8 in total

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