Multi-Agent simulation modeling of Corona Virus Disease 2019 transmission based on various age groups

ABSTRACT

Multi-Agent System (MAS) is an important branch of artificial intelligence research. This study uses the bottom-up characteristics of multi-agents to construct multi-agent simulation models for Corona Virus Disease 2019 (COVID-19) virus prevention and control based on different age groups. The development of the epidemic and the infection of residents of all ages under different prevention and control measures issued by the government were studied. The simulation results proved that the multi-agent modeling method could effectively capture the emergence of complex systems. Its experimental conclusions provided a basis for predicting the development of the epidemic and provide scientific support for government decision-making. © 2021 IEEE.