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Causal reasoning is a fundamental cognitive ability that enables individuals to learn about the complex interactions in the world around them. However, the mechanisms that underpin causal reasoning are not well understood. For example, it remains unresolved whether children's causal inferences are best explained by Bayesian inference or associative learning. The two experiments and computational...
Few issues are more important to developmental scientists than understanding and elucidating mechanisms of developmental change. There are good reasons for this. For example, understanding how developmental change is produced allows developmental researchers to go beyond studying at what age an ability emerges to understanding the underlying processes by which those abilities develop in the first...
We present two habituation experiments that examined 20‐ and 26‐month‐olds’ ability to engage in second‐order correlation learning for static and dynamic features, whereby learned associations between two pairs of features (e.g., P and Q, P and R) are generalized to the features that were not presented together (e.g., Q and R). We also present results from an associative learning mechanism that was...
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