Cognitive Science 36 (8):1427-1448 (2012)
Abstract |
Three experiments with preschool- and young school-aged children (N = 75 and 53) explored the kinds of relations children detect in samples of instances (descriptive problem) and how they generalize those relations to new instances (inferential problem). Each experiment initially presented a perfect biconditional relation between two features (e.g., all and only frogs are blue). Additional examples undermined one of the component conditional relations (not all frogs are blue) but supported another (only frogs are blue). Preschool-aged children did not distinguish between supported and undermined relations. Older children did show the distinction, at least when the test instances were clearly drawn from the same population as the training instances. Results suggest that younger children’s difficulties may stem from the demands of using imperfect correlations for predictions. Older children seemed sensitive to the inferential problem of using samples to make predictions about populations
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Keywords | Covariation Belief revision Inductive inference Statistical learning Cognitive development |
Categories | (categorize this paper) |
DOI | 10.1111/j.1551-6709.2012.01257.x |
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References found in this work BETA
Bayesian Rationality: The Probabilistic Approach to Human Reasoning.Mike Oaksford & Nick Chater - 2007 - Oxford University Press.
Probabilistic Models of Cognition: Exploring Representations and Inductive Biases.Thomas L. Griffiths, Nick Chater, Charles Kemp, Amy Perfors & Joshua B. Tenenbaum - 2010 - Trends in Cognitive Sciences 14 (8):357-364.
Word Learning as Bayesian Inference.Fei Xu & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):245-272.
Statistical Inference and Sensitivity to Sampling in 11-Month-Old Infants.Fei Xu & Stephanie Denison - 2009 - Cognition 112 (1):97-104.
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Citations of this work BETA
When Unsupervised Training Benefits Category Learning.Franziska Bröker, Bradley C. Love & Peter Dayan - 2022 - Cognition 221:104984.
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