Multi-agent Behavior Strategy Evolution Game Research for Platform Economy Governance
The governance of platform economy is of great significance for promoting high-quality economic development in China.This article constructs an evolutionary game model with multiple parameters and uses MATLAB software to simulate and analyze the evolutionary game of multi-agent behavior strategies,in order to optimize the behavior strategy choices of the government,platform enterprises,and platform users.The research results indicate that:(1)when the cost of innovation regulation is high,the government finds it difficult to maintain more effective"innovation regulation"and tends to choose"traditional regulation".(2)In the early stages of evolution,the government's punishment of platform enterprises has a positive effect on increasing the probability of innovation regulation,and over time,those with smaller punishment will first converge to stable strategy points.(3)Platform users will only choose to complain when their own interests are harmed and the cost of complaints is lower than the benefits of rights protection when facing non compliant business practices of platform enterprises.By studying the behavior strategies of multiple stakeholders such as government,platform enterprises,and platform users,relevant countermeasures are proposed from the perspectives of different stakeholders and influencing factors,in order to promote high-quality development of the platform economy.
platform economic governancegovernment regulationplatform enterpriseplatform usersevolutionary game
NETL
NSTL
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