Emergency Public Health Management Mechanism Design: Game Theory Perspective
In the context of the global epidemic, the lack of emergency management mechanism by governments led to the country suffered huge economic losses in the epidemic. The main purpose of this study is to improve the government's management efficiency in emergency public health, to reduce the management cost, and to develop an intelligent emergency response system for the government. This study will expand game theory by adding new variables: panic, virus mutation, adjustment cost, multi-agent teamwork, etc. In this study, the traditional game theory and behavioral game theory will be used to analyze the action and strategies of participants in emergency public health events and quantify them to provide theoretical and data support for the emergency intelligent system. Finally, a set of automatic response mechanism is designed by combining reinforcement learning and neural network theory.