Solving dynamic optimization problems (DOPs) induced by time-varying optimization
objective functions and constraints is challenging. Quantum computation has received …

For two decades, the formalism of quantum mechanics has been successfully used to
describe human decision processes, situations of heuristic reasoning, and the contextuality …

This article proposes a novel and comprehensive framework on how to describe the
probabilistic nature of decision-making process. We suggest extending the quantum-like …

In previous research, we showed that 'texts that tell a story'exhibit a statistical structure that is
not Maxwell–Boltzmann but Bose–Einstein. Our explanation is that this is due to the …

Recent works in the literature have proposed quantum-like Bayesian networks as an
alternative decision model to make predictions in scenarios with high levels of uncertainty …

One can often encounter claims that classical (Kolmogorovian) probability theory cannot
handle, or even is contradicted by, certain empirical findings or substantive theories. This …

We model a piece of text of human language telling a story by means of the quantum
structure describing a Bose gas in a state close to a Bose–Einstein condensate near …

Quantum computing is rapidly transitioning from a scientific curiosity to an industrial reality,
offering the potential to overcome classical computation limitations. This shift has given rise …

As a result of the identification of “identity” and “indistinguishability” and strong experimental
evidence for the presence of the associated Bose-Einstein statistics in human cognition and …

There has been an increasing effort to improve the behavioural realism of mathematical
models of choice, resulting in efforts to move away from random utility maximisation (RUM) …