A Decision-Optimization Approach to Quantum Mechanics and Game Theory

TL;DR

This paper proposes a decision-optimization framework that explains quantum phenomena and extends game theory concepts like Nash equilibrium to improve cooperation and stability.

Contribution

It introduces a novel decision-optimization principle that unifies quantum mechanics and game theory, providing new insights into their foundational behaviors.

Findings

Quantum behaviors can be modeled through decision-optimization.

A generalized Nash equilibrium improves cooperation stability.

The approach offers a new perspective on quantum and game theoretical phenomena.

Abstract

The fundamental laws of quantum world upsets the logical foundation of classic physics. They are completely counter-intuitive with many bizarre behaviors. However, this paper shows that they may make sense from the perspective of a general decision-optimization principle for cooperation. This principle also offers a generalization of Nash equilibrium, a key concept in game theory, for better payoffs and stability of game playing.