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Social cues support learning about objects from statistics in infancy

In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society (2010)

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  1. A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, Laura Schulz, Tamar Kushnir & David Danks - 2004 - Psychological Review 111 (1):3-32.
    We propose that children employ specialized cognitive systems that allow them to recover an accurate “causal map” of the world: an abstract, coherent, learned representation of the causal relations among events. This kind of knowledge can be perspicuously understood in terms of the formalism of directed graphical causal models, or “Bayes nets”. Children’s causal learning and inference may involve computations similar to those for learning causal Bayes nets and for predicting with them. Experimental results suggest that 2- to 4-year-old children (...)
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  • Infants rapidly learn word-referent mappings via cross-situational statistics.Linda Smith & Chen Yu - 2008 - Cognition 106 (3):1558-1568.
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  • Objects and attention: the state of the art.Brian J. Scholl - 2001 - Cognition 80 (1-2):1-46.
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  • Recognition-by-components: A theory of human image understanding.Irving Biederman - 1987 - Psychological Review 94 (2):115-147.
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  • Joint visual attention in infancy.George Butterworth - 2003 - In Gavin Bremner & Alan Slater (eds.), Theories of Infant Development. Blackwell. pp. 317--354.
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  • Visual statistical learning in infancy: evidence for a domain general learning mechanism.Natasha Z. Kirkham, Jonathan A. Slemmer & Scott P. Johnson - 2002 - Cognition 83 (2):B35-B42.
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  • Asymmetric interference in 3‐ to 4‐month‐olds' sequential category learning.Denis Mareschal, Paul C. Quinn & Robert M. French - 2002 - Cognitive Science 26 (3):377-389.
    Three‐ to 4‐month‐old infants show asymmetric exclusivity in the acquisition of cat and dog perceptual categories. The cat perceptual category excludes dog exemplars, but the dog perceptual category does not exclude cat exemplars. We describe a connectionist autoencoder model of perceptual categorization that shows the same asymmetries as infants. The model predicts the presence of asymmetric retroactive interference when infants acquire cat and dog categories sequentially. A subsequent experiment conducted with 3‐ to 4‐month‐olds verifies the predicted pattern of looking time (...)
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