Humans are remarkably limited in:(i) how many control-dependent tasks they can execute
simultaneously, and (ii) how intensely they can focus on a single task. These limitations are …

Mental effort is an elementary notion in our folk psychology and a familiar fixture in everyday
introspective experience. However, as an object of scientific study, mental effort has …

Prior work has identified a resilient phenomenon that threatens the performance of human-
AI decision-making teams: overreliance, when people agree with an AI, even when it is …

Distinct model-free and model-based learning processes are thought to drive both typical
and dysfunctional behaviours. Data from two-stage decision tasks have seemingly shown …

Humans possess a remarkable ability to make decisions within real-world environments that
are expansive, complex, and multidimensional. Human cognitive computational …

Infants understand that people pursue goals, but how do they learn which goals people
prefer? We tested whether infants solve this problem by inverting a mental model of action …

We review the current state of knowledge on the computational and neural mechanisms of
reinforcement-learning with a particular focus on fronto-striatal circuits. We divide the …

Rationalization occurs when a person has performed an action and then concocts the
beliefs and desires that would have made it rational. Then, people often adjust their own …

The past decade has seen the emergence of the use of reinforcement learning models to
study developmental change in value-based learning. It is unclear, however, whether these …

Making good decisions requires thinking ahead, but the huge number of actions and
outcomes one could consider makes exhaustive planning infeasible for computationally …