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 …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

Highlights•Curiosity allocates attention in a way that does not itself consume
attention.•Hedonic states supplement decision-making with cheap auxiliary appraisals of …

Simple choices (eg, eating an apple vs. an orange) are made by integrating noisy evidence
that is sampled over time and influenced by visual attention; as a result, fluctuations in visual …

Human decision making is plagued by systematic errors that can have devastating
consequences. Previous research has found that such errors can be partly prevented by …

Human decision-making is plagued by many systematic errors. Many of these errors can be
avoided by providing decision aids that guide decision-makers to attend to the important …

When making decisions, people often overlook critical information or are overly swayed by
irrelevant information. A common approach to mitigate these biases is to provide decision …

People's decisions often deviate from classical notions of rationality, incurring costs to
themselves and society. One way to reduce the costs of poor decisions is to redesign the …

Often we find ourselves in unknown situations where we have to make a decision based on
reasoning upon experiences. However, it is still unclear how people choose which pieces of …

To make good decisions in the real world, people need efficient planning strategies because
their computational resources are limited. Knowing which planning strategies would work …