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 …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

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 …

Among the hot research topics, Fintech is leading the trend in terms of the newest
technology applications. The relatively new emerging paradigms in various sciences, such …

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 …

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 …

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

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” …

Classical reinforcement learning (CRL) has been widely applied in neuroscience and
psychology; however, quantum reinforcement learning (QRL), which shows superior …