After growing up together, and mostly growing apart in the second half of the 20th century,
the fields of artificial intelligence (AI), cognitive science, and neuroscience are reconverging …

Cognitive biases, such as the anchoring bias, pose a serious challenge to rational accounts
of human cognition. We investigate whether rational theories can meet this challenge by …

In spite of its familiar phenomenology, the mechanistic basis for mental effort remains poorly
understood. Although most researchers agree that mental effort is aversive and stems from …

Many contemporary accounts of human reasoning assume that the mind is equipped with
multiple heuristics that could be deployed to perform a given task. This raises the question of …

The human brain has the impressive capacity to adapt how it processes information to high-
level goals. While it is known that these cognitive control skills are malleable and can be …

Human behavior emerges from planning over elaborate decompositions of tasks into goals,
subgoals, and low-level actions. How are these decompositions created and used? Here …

Artificial intelligence systems use an increasing amount of computation and data to solve
very specific problems. By contrast, human minds solve a wide range of problems using a …

After observing a collision between two boxes, you can immediately tell which is empty and
which is full of books based on how the boxes moved. People form rich perceptions about …

The ability to act on the world with the goal of gaining information is core to human
adaptability and intelligence. Perhaps the most successful and influential account of such …

Abstract In 1955, Herbert Simon introduced the notion of satisficing: an agent satisfices by
searching for an alternative that meets an aspiration level but does not optimize. We survey …