Quantum game approach for capacity allocation decisions under strategic reasoning

Abstract From a common point of view, quantum mechanics, psychology, and decision science disciplines try to predict how unruly systems (atomic particles, human behaviors, makers’ choices) might behave in the future. Effective predicting outcome capacity allocation game under various policies requires profound understanding as strategic reasoning makers contributes financial gain players. A framework is employed current study investigate performance affected when buyers strategize over order quantities. The results show that degree being manipulative for mechanisms not identical adopting adaptive method most effective approach secure highest fill rate profit it practiced reasonable range entanglement levels.