Social learning is often portrayed as a passive process of copying and trusting others. This
view, however, does not fully capture what makes human social learning so powerful: social …

Perception involves making sense of a dynamic, multimodal environment. In the absence of
mechanisms capable of exploiting the statistical patterns in the natural world, infants would …

The two fields of machine learning and graphical causality arose and are developed
separately. However, there is, now, cross-pollination and increasing interest in both fields to …

Abstract 'Intuitive physics' enables our pragmatic engagement with the physical world and
forms a key component of 'common sense'aspects of thought. Current artificial intelligence …

Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …

How does language inform our downstream thinking? In particular, how do humans make
meaning from language--and how can we leverage a theory of linguistic meaning to build …

Recent studies in cognitive development suggest that preschoolers may not be able to
represent alternative possibilities, and therefore may lack modal concepts such as possible …

Given the overwhelming quantity of information available from the environment, how do
young learners know what to learn about and what to ignore? We found that 11-month-old …

In a glance, we can perceive whether a stack of dishes will topple, a branch will support a
child's weight, a grocery bag is poorly packed and liable to tear or crush its contents, or a …