Chapter

What Can Statistical Learning Tell Us About Infant Learning?

Jenny R. Saffran

in Learning and the Infant Mind

Published in print September 2008 | ISBN: 9780195301151
Published online September 2008 | e-ISBN: 9780199894246 | DOI: https://dx.doi.org/10.1093/acprof:oso/9780195301151.003.0002
 						What Can Statistical Learning Tell Us About Infant Learning?

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This chapter uses statistical learning as a model system to consider broader issues and implications pertaining to the role of learning in development. Statistical learning is an old idea, with roots in mid-20th-century fields of inquiry as diverse as structural linguistics, early neuroscience, and operant conditioning paradigms. Two broad claims underlie the statistical learning literature. First, important structures in the environment are mirrored by surface statistics. Second, organisms are in fact sensitive to these patterns in their environments. This combination of environmental structure and learning mechanisms that can exploit this structure is the central tenet of theories focused on learning — in this case, the potent combination of informative statistics in the input paired with processes that can make use of such statistics.

Keywords: infants; infant learning; statistical models; structural linguistics; operant conditioning paradigms

Chapter.  9236 words. 

Subjects: Developmental Psychology

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