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 im**ed 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 …

Kenneth R. Hammond (1917–2015) made several major contributions to the science of
human judgment and decision making. As a student of Egon Brunswik, he kept Brunswik's …