Across many domains of decision making, people seem both rational and irrational. We
review recent work that aims to reconcile these apparently contradictory views by modeling …

In this review, we are pitting two theories against each other: the more accepted theory, the
number sense theory, suggesting that a sense of number is innate and non-symbolic …

The first comprehensive treatment of active inference, an integrative perspective on brain,
cognition, and behavior used across multiple disciplines. Active inference is a way of …

Predicting and understanding how people make decisions has been a long-standing goal in
many fields, with quantitative models of human decision-making informing research in both …

What role does deliberation play in susceptibility to political misinformation and “fake news”?
The Motivated System 2 Reasoning (MS2R) account posits that deliberation causes people …

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

We provide evidence that classic lottery anomalies like probability weighting and loss
aversion are not special phenomena of risk. They also arise (and often with equal strength) …

This article documents the economic relevance of measuring cognitive uncertainty: people's
subjective uncertainty over their ex ante utility-maximizing decision. In a series of …

Individuals make increasingly more decisions on screens, such as those on websites or
mobile apps. However, the nature of screens and the vast amount of information available …

We review the psychology and neuroscience of reinforcement learning (RL), which has
experienced significant progress in the past two decades, enabled by the comprehensive …