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 …

When participants respond in the same way to stimuli of two categories, responses are often
observed to be faster when both stimuli are presented together (redundant signals) relative …

In quantum physics there are well-known situations when measurements of the same
property in different contexts (under different conditions) have the same probability …

This paper provides a systematic yet accessible presentation of the Contextuality-by-Default
theory. The consideration is confined to finite systems of categorical random variables …

Systems Factorial Technology is a powerful framework for investigating the fundamental
properties of human information processing such as architecture (ie, serial or parallel …

Abstract Systems factorial technology (SFT) comprises a set of powerful nonparametric
models and measures, together with a theory-driven experiment methodology termed the …

Given a set of several inputs into a system (eg, independent variables characterizing stimuli)
and a set of several stochastically non-independent outputs (eg, random variables …

We analyze different aspects of our quantum modeling approach of human concepts, and
more specifically focus on the quantum effects of contextuality, interference, entanglement …

In this note we demonstrate that the results of observations in the EPR–Bohm–Bell
experiment can be described within the classical probabilistic framework. However, the …

Abstract We interpret the Leggett–Garg (LG) inequality as a kind of contextual probabilistic
inequality in which one combines data collected in experiments performed for three different …