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A Decision-Optimization Approach to Quantum Mechanics and Game Theory

2009/11/30 by Xiaofei Huang, Huang, Xiaofei
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Opinion Dynamics and Social Influence #Quantum Mechanics and Applications #cs.AI #cs.GT

paper · pdf · doi:10.48550/arxiv.0911.5548

openalex publication_date 2009/11/30 · arxiv created 2009/12/02 · arxiv updated 2009/12/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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