Acquiring Complex Communicative Systems: Statistical Learning of Language and Emotion
- PMID: 35398974
- PMCID: PMC9465951
- DOI: 10.1111/tops.12612
Acquiring Complex Communicative Systems: Statistical Learning of Language and Emotion
Abstract
During the early postnatal years, most infants rapidly learn to understand two naturally evolved communication systems: language and emotion. While these two domains include different types of content knowledge, it is possible that similar learning processes subserve their acquisition. In this review, we compare the learnable statistical regularities in language and emotion input. We then consider how domain-general learning abilities may underly the acquisition of language and emotion, and how this process may be constrained in each domain. This comparative developmental approach can advance our understanding of how humans learn to communicate with others.
Keywords: Development; Emotion; Infancy; Language; Statistical learning.
© 2022 The Authors. Topics in Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society.
References
-
- Adams, R. B. , Ambady, N. , Macrae, C. N. , & Kleck, R. E. (2006). Emotional expressions forecast approach‐avoidance behavior. Motivation and Emotion, 30(2), 179–188. 10.1007/s11031-006-9020-2 - DOI
-
- Aslin, R. N. , Saffran, J. R. , & Newport, E. L. (1998). Computation of conditional probability statistics by 8‐month‐old infants. Psychological Science, 94, 321–324. 10.1111/1467-9280.00063 - DOI
-
- Barrett, L. F. (2021). Debate about universal facial expressions goes big. Nature, 589, 202–203. - PubMed
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