Literature DB >> 17201518

Conditional probability versus spatial contiguity in causal learning: Preschoolers use new contingency evidence to overcome prior spatial assumptions.

Tamar Kushnir1, Alison Gopnik.   

Abstract

This study examines preschoolers' causal assumptions about spatial contiguity and how these assumptions interact with new evidence in the form of conditional probabilities. Preschoolers saw a toy that activated in the presence of certain objects. Children were shown evidence for the toy's activation rule in the form of patterns of probability: The toy was more likely to activate either when objects made contact with its surface (on condition) or when objects were several inches above its surface (over condition). In Experiment 1, 61 three-year-olds saw a deterministic activation rule. In Experiments 2 and 3, 48 four-year-olds saw an activation rule that was probabilistic. In Experiment 4, 30 four-year-olds saw a screening-off pattern of activation. In all 4 experiments, children used new evidence in the form of patterns of probability to make accurate causal inferences, even in the face of conflicting prior beliefs about spatial contiguity. However, children were more likely to make correct inferences when causes were spatially contiguous, particularly when faced with ambiguous evidence. Copyright 2006 APA, all rights reserved.

Entities:  

Mesh:

Year:  2007        PMID: 17201518     DOI: 10.1037/0012-1649.43.1.186

Source DB:  PubMed          Journal:  Dev Psychol        ISSN: 0012-1649


  22 in total

1.  Young children use statistical sampling to infer the preferences of other people.

Authors:  Tamar Kushnir; Fei Xu; Henry M Wellman
Journal:  Psychol Sci       Date:  2010-07-09

2.  Learning about causes from people: observational causal learning in 24-month-old infants.

Authors:  Andrew N Meltzoff; Anna Waismeyer; Alison Gopnik
Journal:  Dev Psychol       Date:  2012-02-27

3.  The power of possibility: causal learning, counterfactual reasoning, and pretend play.

Authors:  Daphna Buchsbaum; Sophie Bridgers; Deena Skolnick Weisberg; Alison Gopnik
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-08-05       Impact factor: 6.237

4.  Inconsistency with prior knowledge triggers children's causal explanatory reasoning.

Authors:  Cristine H Legare; Susan A Gelman; Henry M Wellman
Journal:  Child Dev       Date:  2010 May-Jun

5.  I. INTRODUCTION: UNDERSTANDING MEDICINES AND MEDICAL INTERVENTIONS.

Authors:  Kristi L Lockhart; Frank C Keil
Journal:  Monogr Soc Res Child Dev       Date:  2018-06

6.  Of babies and birds: complex tool behaviours are not sufficient for the evolution of the ability to create a novel causal intervention.

Authors:  Alex H Taylor; Lucy G Cheke; Anna Waismeyer; Andrew N Meltzoff; Rachael Miller; Alison Gopnik; Nicola S Clayton; Russell D Gray
Journal:  Proc Biol Sci       Date:  2014-06-11       Impact factor: 5.349

7.  The development of Bayesian integration in sensorimotor estimation.

Authors:  Claire Chambers; Taegh Sokhey; Deborah Gaebler-Spira; Konrad Paul Kording
Journal:  J Vis       Date:  2018-11-01       Impact factor: 2.240

8.  Constructing a new theory from old ideas and new evidence.

Authors:  Marjorie Rhodes; Henry Wellman
Journal:  Cogn Sci       Date:  2013-03-14

9.  A self-agency bias in preschoolers' causal inferences.

Authors:  Tamar Kushnir; Henry M Wellman; Susan A Gelman
Journal:  Dev Psychol       Date:  2009-03

10.  Just do it? Investigating the gap between prediction and action in toddlers' causal inferences.

Authors:  Elizabeth Baraff Bonawitz; Darlene Ferranti; Rebecca Saxe; Alison Gopnik; Andrew N Meltzoff; James Woodward; Laura E Schulz
Journal:  Cognition       Date:  2010-01-25
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.