# Quantum Probabilities as Behavioral Probabilities

## TL;DR

This paper shows that human decision-making probabilities can be modeled using quantum probability theory, providing a quantitative framework that aligns well with empirical data, without implying humans are quantum objects.

## Contribution

The paper introduces a quantum-based approach to model human behavioral probabilities, bridging quantum mathematics with decision-making processes.

## Key findings

- Quantum probabilities explain human decision behaviors.
- The model quantitatively predicts experimental data.
- Good agreement between theory and empirical results.

## Abstract

We demonstrate that behavioral probabilities of human decision makers share many common features with quantum probabilities. This does not imply that humans are some quantum objects, but just shows that the mathematics of quantum theory is applicable to the description of human decision making. The applicability of quantum rules for describing decision making is connected with the nontrivial process of making decisions in the case of composite prospects under uncertainty. Such a process involves deliberations of a decision maker when making a choice. In addition to the evaluation of the utilities of considered prospects, real decision makers also appreciate their respective attractiveness. Therefore, human choice is not based solely on the utility of prospects, but includes the necessity of resolving the utility-attraction duality. In order to justify that human consciousness really functions similarly to the rules of quantum theory, we develop an approach defining human behavioral probabilities as the probabilities determined by quantum rules. We show that quantum behavioral probabilities of humans not merely explain qualitatively how human decisions are made, but they predict quantitative values of the behavioral probabilities. Analyzing a large set of empirical data, we find good quantitative agreement between theoretical predictions and observed experimental data.