Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan in tasks
previously thought to be uniquely human. Meanwhile, the planning algorithms implemented …

The central theme of this review is the dynamic interaction between information selection
and learning. We pose a fundamental question about this interaction: How do we learn what …

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

Previous work has identified characteristic neural signatures of value-based decision-
making, including neural dynamics that closely resemble the ramping evidence …

How do people interact with computers? This fundamental question was asked by Card,
Moran, and Newell in 1983 with a proposition to frame it as a question about human …

To act in the world, robots rely on a representation of salient task aspects: for example, to
carry a coffee mug, a robot may consider movement efficiency or mug orientation in its …

Decision makers attend more to preferred choice options and to the ultimately chosen
option, but does visual attention influence preferences and choice? Several theories …

When making decisions, how people allocate their attention influences their choices. One
empirical finding is that people are more likely to choose the option that they have looked at …

Contextual features influence human and non-human decision making, giving rise to
preference reversals. Decades of research have documented the species and situations in …

While often seeming to investigate rather different problems, research into value-based
decision making and cognitive control have historically offered parallel insights into how …