超越数字联络追踪的表象:深入探索技术、个人和社会的互联世界

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-08-05 DOI:10.1109/TSMC.2024.3428393
Jiejun Hu-Bolz;Katayoun Farrahi;Manuel Cebrian
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引用次数: 0

摘要

数字接触追踪技术(DCT)等信息化技术旨在协助决策。然而,在大流行期间,DCT 也为个人和决策者提供了额外的考虑因素。在本文中,我们将个人与政策制定者之间的互动概念化,并提出了一个领导者-追随者均值场博弈模型,在政策制定者的干预和补贴影响下,综合个人的健康状况、自我控制努力、隐私和社交活动等关键因素,分析他们的决策过程。模拟结果表明,即使存在隐私问题和参与活动的负面影响,适度的补贴也足以诱导早期的控制努力和更高的集体努力;当健康人群或健康人群与平庸健康人群的总和占主导地位时,就能达到平衡和系统稳定;该模型强调了未来数据分析和收集的关键要素,例如 DCT 对于显示人群健康状况至关重要。
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Beyond the Surface of Digital Contact Tracing: Delving into the Interconnected World of Technology, Individuals, and Society
Information-enabled technology, such as digital contact tracing (DCT), is designed to assist decision-making. However, during the pandemic, DCT also contributes additional factors to consider for individuals and policymakers. In this article, we conceptualise the interactions between individuals and policymakers and propose a leader-followers mean-field Game model to analyse their decision-making processes by integrating key factors, such as individuals’ health state, self-control effort, privacy, and social activities, under the influence of interventions and subsidies from policymakers. The simulation demonstrates that moderate subsidies are sufficient to induce early control efforts and higher collective efforts even with privacy concerns and the negative influence of engaging activities; Equilibrium and system stability can be reached when healthy or the summation of healthy and mediocre healthy populations dominates; The model highlights the crucial elements for future data analysis and collection, such as DCT is vital to indicate population health states.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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