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 …

What type of probability theory best describes the way humans make judgments under
uncertainty and decisions under conflict? Although rational models of cognition have …

Much of our understanding of human thinking is based on probabilistic models. This
innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the …

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 …

Question order effects are commonly observed in self‐report measures of judgment and
attitude. This article develops a quantum question order model (the QQ model) to account for …

It is widely accepted that consciousness or, more generally, mental activity is in some way
correlated to the behavior of the material brain. Since quantum theory is the most …

Concepts of space and time are widely developed in physics. However, there is a
considerable lack of biologically plausible theoretical frameworks that can demonstrate how …

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 …

Some naturalistic philosophers of mind subscribing to the predictive processing theory of
mind have adopted a realist attitude towards the results of Bayesian cognitive science. In …