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Just Do It? Investigating the Gap Between Prediction and Action in Toddlers' Causal Inferences

Overview
Journal Cognition
Publisher Elsevier
Specialty Psychology
Date 2010 Jan 26
PMID 20097329
Citations 28
Authors
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Abstract

Adults' causal representations integrate information about predictive relations and the possibility of effective intervention; if one event reliably predicts another, adults can represent the possibility that acting to bring about the first event might generate the second. Here we show that although toddlers (mean age: 24 months) readily learn predictive relationships between physically connected events, they do not spontaneously initiate one event to try to generate the second (although older children, mean age: 47 months, do; Experiments 1 and 2). Toddlers succeed only when the events are initiated by a dispositional agent (Experiment 3), when the events involve direct contact between objects (Experiment 4), or when the events are described using causal language (Experiment 5). This suggests that causal language may help children extend their initial causal representations beyond agent-initiated and direct contact events.

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References
1.
Meltzoff A . Understanding the Intentions of Others: Re-Enactment of Intended Acts by 18-Month-Old Children. Dev Psychol. 2014; 31(5):838-850. PMC: 4137788. DOI: 10.1037/0012-1649.31.5.838. View

2.
Wolff P . Direct causation in the linguistic coding and individuation of causal events. Cognition. 2003; 88(1):1-48. DOI: 10.1016/s0010-0277(03)00004-0. View

3.
Hood B, Carey S, Prasada S . Predicting the outcomes of physical events: two-year-olds fail to reveal knowledge of solidity and support. Child Dev. 2001; 71(6):1540-54. DOI: 10.1111/1467-8624.00247. View

4.
Muentener P, Carey S . Infants' causal representations of state change events. Cogn Psychol. 2010; 61(2):63-86. PMC: 2930082. DOI: 10.1016/j.cogpsych.2010.02.001. View

5.
Leslie A, Keeble S . Do six-month-old infants perceive causality?. Cognition. 1987; 25(3):265-88. DOI: 10.1016/s0010-0277(87)80006-9. View