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 …

There has always been a steady interest in how humans make decisions amongst
researchers from various fields. Based on this interest, many approaches such as rational …

Written by world experts in the foundations of quantum mechanics and its applications to
social science, this book shows how elementary quantum mechanical principles can be …

The aim of this book is to demonstrate that quantum-like (QL) models, ie, models based on
the mathematical formalism of quantum mechanics (QM) and its generalizations, can be …

Quantum cognition research applies abstract, mathematical principles of quantum theory to
inquiries in cognitive science. It differs fundamentally from alternative speculations about …

The aim of this book is to show that the probabilistic formalisms of classical statistical
mechanics and quantum mechanics can be unified on the basis of a general contextual …

There are at least two general theories for building probabilistic–dynamical systems: one is
Markov theory and another is quantum theory. These two mathematical frameworks share …

The use of quantum mechanical concepts in social science is a fairly new phenomenon.
This paper uses one of quantum mechanics' most basic concepts, probability interference, to …

Psychology has had difficulty accounting for the creative, context-sensitive manner in which
concepts are used. We believe this stems from the view of concepts as identifiers rather than …

This study was designed to further our understanding of the central role of motivational
activation in mediated information processing and media choice. To do this, a dynamic …