A quantum-like cognitive approach to modeling human biased selection behavior.

Cognitive biases of the human mind significantly influence the human decision-making process. However, they are often neglected in modeling selection behaviors and hence deemed irrational. Here, we introduce a cognitive quantum-like approach for modeling human biases by simulating society as a quantum system and using a Quantum-like Bayesian network (QBN) structure.

A Quantum-Like Model for Predicting Human Decisions in the Entangled Social Systems.

Human-centered systems of systems, such as social networks, the Internet of Things, or healthcare systems are growingly becoming significant facets of modern life. Realistic models of human behavior in such systems play an essential role in their accurate modeling and prediction. Nevertheless, human behavior under uncertainty often violates the predictions by the conventional probabilistic models.

Soliton-potential interaction in the phi(4) model.

A model for the soliton-potential scattering is presented. This model is constructed with a better approximation for adding the potential to the Lagrangian through the metric of background space time. The results of the model are compared with other models, and the differences are discussed.

Analytical formulation for soliton-potential dynamics.

An analytical model for the soliton-potential interaction is presented by constructing a collective coordinate for the system. Most of the characters of the interaction are derived analytically while they are calculated by other models numerically. We find that the behavior of the soliton is like a point particle "living" under the influence of a complicated potential, that is a function of soliton velocity and the potential parameters.