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

Many studies on the drift-diffusion model (DDM) explain decision-making based on a unified
analysis of both accuracy and response times. This review provides an in-depth account of …

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

Humans differ in their capability to judge choice accuracy via confidence judgments. Popular
signal detection theoretic measures of metacognition, such as M-ratio, do not consider the …

Diffusion models of evidence accumulation have successfully accounted for the distributions
of response times and choice probabilities from many experimental tasks, but recently their …

Magnitude-sensitivity refers to the result that performance in decision-making, across
domains and organisms, is affected by the total value of the possible alternatives. This …

To date, social and nonsocial decisions have been studied largely in isolation.
Consequently, the extent to which social and nonsocial forms of decision uncertainty are …

Humans and other animals are able to adjust their speed–accuracy trade-off (SAT) at will
depending on the urge to act, favoring either cautious or hasty decision policies in different …

Abstract Models based on normative principles have played a major role in our
understanding of how the brain forms decisions. However, these models have typically been …

Many decisions involve choosing an uncertain course of action in deep and wide decision
trees, as when we plan to visit an exotic country for vacation. In these cases, exhaustive …