The desire to reduce the dependence on curated, labeled datasets and to leverage the vast
quantities of unlabeled data has triggered renewed interest in unsupervised (or self …

Learners use certainty to guide learning. They maintain existing beliefs when certain, but
seek further information when they feel uninformed. Here, we review developmental …

From an early age, children need to gather information to learn about their environment.
Deciding which knowledge to pursue can be difficult because information can serve several …

Curious information-seeking is known to be a key driver for learning, but characterizing this
important psychological phenomenon remains a challenge. In this article, we argue that …

Statistical learning enables learners to extract the environmental regularities necessary to
piece together the structure of their worlds. The capacity for statistical learning and its …

Adaptive information seeking is essential for humans to effectively navigate complex and
dynamic environments. Here, we developed a gaze-contingent eye-tracking paradigm to …

Understanding how we come to make sense of our environments requires understanding
both how we take in new information and how we flexibly process and store that information …

It has been a long-standing dream to design artificial agents that explore their environment
efficiently via intrinsic motivation, similar to how children perform curious free play. Despite …

What drives our curiosity remains an elusive and hotly debated issue, with multiple
hypotheses proposed but a cohesive account yet to be established. This review discusses …

When teaching infants new actions, parents tend to modify their movements. Infants prefer
these infant‐directed actions (IDAs) over adult‐directed actions and learn well from them …