Highlights•Fast-and-frugal heuristics are useful in situations of uncertainty, while
optimization is designed for situations or risk.•The study of the adaptive toolbox is …

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 …

Computational psychiatry aims to apply mathematical and computational techniques to help
improve psychiatric care. To achieve this, the phenomena under scrutiny should be within …

Bayesian theories of cognition assume that people can integrate probabilities rationally.
However, several empirical findings contradict this proposition: human probabilistic …

Decision-making is a high-level cognitive process based on cognitive processes like
perception, attention, and memory. Real-life situations require series of decisions to be …

In the philosophy of science why-questions are a way to address the foundations of scientific
explanation. For Bas van Fraassen (1980), a theory of explanation is essentially a theory of …

An examination of the cognitive tools that the mind uses to grapple with uncertainty in the
real world. How do humans navigate uncertainty, continuously making near-effortless …

Cognitive architectures (eg, ACT-R) have not traditionally been used to understand intuitive
decision-making; instead, models tend to be designed with the intuitions of their modelers …

This paper presents a simple formal analytical model delivering qualitative predictions for
response times in binary‐choice experiments. It combines a dual‐process/multi‐strategy …

While bibliometrics are widely used for research evaluation purposes, a common theoretical
framework for conceptually understanding, empirically studying, and effectively teaching its …