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 …

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 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” …

We analyze different aspects of our quantum modeling approach of human concepts and,
more specifically, focus on the quantum effects of contextuality, interference, entanglement …

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 …

We introduce HyperLex—a data set and evaluation resource that quantifies the extent of the
semantic category membership, that is, type-of relation, also known as hyponymy …

Quantum cognition is a new research program that uses mathematical principles from
quantum theory as a framework to explain human cognition, including judgment and …

Quantum theory, originally proposed as a physical theory to describe the motions of
microscopic particles, has been applied to various non-physics domains involving human …

No other study has had as great an impact on the development of the similarity literature as
that of Tversky (1977), which provided compelling demonstrations against all the …