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 …

With quantum computing technologies nearing the era of commercialization and quantum
supremacy, machine learning (ML) appears as one of the promising'killer'applications …

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 …

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

In most existing multi-criteria group decision making (MCGDM) problems, the decision
makers (DMs) are usually regarded as independent and DMs' psychological behaviors are …

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 …

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 …

The nervous system is a non-linear dynamical complex system with many feedback loops. A
conventional wisdom is that in the brain the quantum fluctuations are self-averaging and …