A Decision-Optimization Approach to Quantum Mechanics and Game Theory

Huang, Xiaofei

arXiv.org Artificial Intelligence 

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.

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