Sorting and acting with objects in early childhood: An exploration of the use of causal cues
AbstractThree experiments investigated young children’s ability to use a causal property, making a machine light up and play music, to sort objects together (sorting task), and then to predict how to make the machine work (action task). The results show that the performance of 30-month-old children is guided in both tasks by the causal properties of the objects. This suggests that causal information is used to categorize objects even in a task that does not involve naming. The causal interpretation of the results is supported by data showing that non-causal temporal association and perceptual prominence cannot account for the results. Finally, 36-month-olds, but not 30-month-olds, sorted objects together on the basis of a “negative” feature, namely, the fact that they lacked a particular causal property. © 2003 Elsevier Science Inc. All rights reserved.
Similar books and articles
Learning to Learn Causal Models.Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum - 2010 - Cognitive Science 34 (7):1185-1243.
Spurious Causal Kinds: A Problem for the Causal-Power Conception of Kinds.Brandon N. Towl - 2010 - Philosophia 38 (1):217-223.
Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults.Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum & Alison Gopnik - 2011 - Cognitive Science 35 (8):1407-1455.
The Individuation of Causal Powers by Events (and Consequences of the Approach).Brandon N. Towl - 2010 - Metaphysica 11 (1):49-61.
The Hermeneutics of the Causal Powers of Meaningful Objects.Amit Ron - 2010 - Journal of Critical Realism 9 (2):155-171.
Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, David M. Sobel & Laura E. Schultz - unknown
Young Children Are Sensitive to How an Object Was Created When Deciding What to Name It.Paul Bloom - 2000 - Cognition 76 (2):91-103.
Children's Causal Inferences From Indirect Evidence: Backwards Blocking and Bayesian Reasoning in Preschoolers.Alison Gopnik - 2004 - Cognitive Science 28 (3):303-333.
Added to PP
Historical graph of downloads
Citations of this work
The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.
Hierarchical Bayesian Models as Formal Models of Causal Reasoning.York Hagmayer & Ralf Mayrhofer - 2013 - Argument and Computation 4 (1):36 - 45.
References found in this work
No references found.