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 …

There is an underlying assumption in the social sciences that consciousness and social life
are ultimately classical physical/material phenomena. In this ground-breaking book …

The hypothesis that human reasoning obeys the laws of quantum rather than classical
probability has been used in recent years to explain a variety of seemingly “irrational” …

Recently, the popularity of using the expressive power of quantum computing to solve
known, challenging problems has increased remarkably. This study aims to develop a clear …

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

Human probability judgments are systematically biased, in apparent tension with Bayesian
models of cognition. But perhaps the brain does not represent probabilities explicitly, but …

We present unambiguous experimental evidence for (quantum-like) probabilistic
contextuality in psychology. All previous attempts to find contextuality in a psychological …

Categorization is necessary for many decision making tasks. However, the categorization
process may interfere the decision making result and bring about the disjunction fallacy. To …