How do inference rules for causal learning themselves change developmentally? A model of the development of causal reasoning must address this question, as well as specify the …
Learning and executive functions such as task-switching share common neural substrates, notably prefrontal cortex and basal ganglia. Understanding how they interact requires …
Children learn causal relationships quickly and make far-reaching causal inferences from what they observe. Acquiring abstract causal principles that allow generalization across …
Children's causal learning has been characterized as a rational process, in which children appropriately evaluate evidence from their observations and actions in light of their existing …
ED Thiessen, AT Kronstein, DG Hufnagle - Psychological bulletin, 2013 - psycnet.apa.org
The term statistical learning in infancy research originally referred to sensitivity to transitional probabilities. Subsequent research has demonstrated that statistical learning contributes to …
P Bryant, T Nunes - London: Nuffield Foundation, 2012 - nuffieldfoundation.org
There are four key reasons for our interest in probability. First, we wondered whether the teaching and learning of probability took sufficient account of children's prior knowledge of …
Over the past decade, an active line of research within the field of human causal learning and inference has converged on a general representational framework: causal models …
The article presents a Bayesian model of causal learning that incorporates generic priors-- systematic assumptions about abstract properties of a system of cause-effect relations. The …
In this book, acclaimed economist Herbert Gintis ranges widely across many fields— including economics, psychology, anthropology, sociology, moral philosophy, and biology …