ACT‐R is a hybrid cognitive architecture. It is comprised of a set of programmable
information processing mechanisms that can be used to predict and explain human …

Classical (Bayesian) probability (CP) theory has led to an influential research tradition for
modeling cognitive processes. Cognitive scientists have been trained to work with CP …

We introduce the Berlin Numeracy Test, a new psychometrically sound instrument that
quickly assesses statistical numeracy and risk literacy. We present 21 studies (n= 5336) …

For decisions in the wild, time is of the essence. Available decision time is often cut short
through natural or artificial constraints, or is impinged upon by the opportunity cost of time …

The past years have seen increasing cooperation between psychology and computer
science in the field of computational modeling of emotion. However, to realize its potential …

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 …

The debate about whether making a risky choice is based on a weighting and adding
process has a long history and is still unresolved. To address this long-standing controversy …

Mathematical and computational decision models are powerful tools for studying choice
behavior, and hundreds of distinct decision models have been proposed over the long …

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 …

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 …