A Survey of Game-Theoretic Methods for Controlling COVID-19

被引:0
|
作者
Deng, Zhiqi [1 ,2 ,3 ]
Luo, Xudong [1 ,2 ,3 ]
Luo, Michael Y. [4 ]
机构
[1] Guangxi Normal Univ, Sch Comp Sci & Engn, Guilin 541004, Guangxi, Peoples R China
[2] Guangxi Normal Univ, Key Lab Educ Blockchain & Intelligent Technol, Minist Educ, Guilin 541004, Guangxi, Peoples R China
[3] Guangxi Normal Univ, Guangxi Key Lab Multisource Informat Min & Secur, Guilin 541004, Guangxi, Peoples R China
[4] Univ Cambridge, Emmanuel Coll, Cambridge CB2 3AP, England
来源
KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT V, KSEM 2024 | 2024年 / 14888卷
关键词
Game Theory; COVID-19; Social Normal; Decision Making; Multiagent System; COOPERATION; MODEL;
D O I
10.1007/978-981-97-5489-2_6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To provide researchers and policymakers with an in-depth understanding of COVID-19 management and insights for dealing with future pandemics, this paper examines the use of game theory in addressing the challenges posed by the COVID-19 pandemic, highlighting its role in understanding the virus's dynamics and formulating effective control measures. It reviews game theory models considering public compliance, individual behaviours, socio-economic disparities, and cultural influences on COVID-19 control. It also analyses the application of game theory in evaluating common control strategies like quarantine, lockdowns, and vaccination. Future research should integrate behavioural and social factors into game models and focus on international cooperation to address data scarcity, model complexity, and unrealistic assumptions.
引用
收藏
页码:58 / 73
页数:16
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