Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key
problem in behavioral sciences is how the mind copes with uncertain information. Quantum …

This tutorial is intended to provide an introduction to some advanced tools and concepts
needed to construct more realistic quantum models of cognition and decision. The aim is to …

The paper presents quantum model of subjective text perception based on binary cognitive
distinctions corresponding to words of natural language. The result of perception is quantum …

The paper introduces mathematical encoding for subjective experience and meaning in
natural cognition. The code is based on a quantum-theoretic qubit structure supplementing …

There is considerable variety in human inference (eg, a doctor inferring the presence of a
disease, a juror inferring the guilt of a defendant, or someone inferring future weight loss …

Quantum computers are expected to contribute more efficient and accurate ways of
modeling economic processes. Quantum hardware is currently available at a relatively small …

Quantum probability theory (QPT) has provided a novel, rich mathematical framework for
cognitive modelling, especially for situations which appear paradoxical from classical …

An intuition of ambivalence in cognition is particularly strong for complex decisions, for
which the merits and demerits of different options are roughly equal but hard to compare. We …

Classic probability theory (CPT) is generally considered the rational way to make inferences,
but there have been some empirical findings showing a divergence between reasoning and …

A novel decision bias, called the evaluation bias (EB), was reported by White, Pothos, and
Busemeyer (2014). In a sequence of 2 stimuli of opposite affective valence, evaluating the …