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 …

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 …

Uncertainty is inevitable in the decision-making process of real applications. Quantum
mechanics has become an interesting and popular topic in predicting and explaining human …

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 …

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 …

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

A quantum probability model is introduced and used to explain human probability judgment
errors including the conjunction and disjunction fallacies, averaging effects, unpacking …

Climate change is recognized as an urgent societal problem with widespread implications
for both natural and human systems, and transforming society at the rate and scale that is …

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