Abstract
Causal learning requires integrating constraints provided by domain-specific theories with domain-general statistical learning. In order to investigate the interaction between these factors, the authors presented preschoolers with stories pitting their existing theories against statistical evidence. Each child heard 2 stories in which 2 candidate causes co-occurred with an effect. Evidence was presented in the form: AB → E; CA → E; AD → E; and so forth. In 1 story, all variables came from the same domain; in the other, the recurring candidate cause, A, came from a different domain (A was a psychological cause of a biological effect). After receiving this statistical evidence, children were asked to identify the cause of the effect on a new trial. Consistent with the predictions of a Bayesian model, all children were more likely to identify A as the cause within domains than across domains. Whereas 3.5-year-olds learned only from the within-domain evidence, 4- and 5-year-olds learned from the cross-domain evidence and were able to transfer their new expectations about psychosomatic causality to a novel task.
Original language | English (US) |
---|---|
Pages (from-to) | 1124-1139 |
Number of pages | 16 |
Journal | Developmental Psychology |
Volume | 43 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2007 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Demography
- Developmental and Educational Psychology
- Life-span and Life-course Studies
Keywords
- Bayesian models
- ambiguous evidence
- domain-general and domain-specific causal learning
- naive theories
- psychosomatic causes