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 …

The finding that human decision-making is systematically biased continues to have an
immense impact on both research and policymaking. Prevailing views ascribe biases to …

Resource rationality holds great promise as a unifying principle across theories in
neuroscience, cognitive science, and economics. The target article clearly lays out this …

Goal‐directed behavior is a deeply important part of human psychology. People constantly
set goals for themselves and pursue them in many domains of life. In this paper, we develop …

Teaching people clever heuristics is a promising approach to improve decision-making
under uncertainty. The theory of resource rationality makes it possible to leverage machine …

The nature of eye movements during visual search has been widely studied in psychology
and neuroscience. Virtual reality (VR) paradigms provide an opportunity to test whether …

The project of justifying all the limits and failings of human cognition as inevitable
consequences of strategies that are actually" optimal" relative to the limits on computational …

The commentaries raised questions about normativity, human rationality, cognitive
architectures, cognitive constraints, and the scope or resource rational analysis (RRA). We …

Although process data indicate that people often rely on simplifying processes when
choosing between risky options, current models of heuristics cannot predict people's choices …