@inproceedings{f88cafb255704dca9c6308777f4a9d34,
title = "How does a Rational Agent Act in an Epidemic?",
abstract = "The evolution of a disease in a large population is a function of the top-down policy measures from a centralized planner and the self-interested decisions (to be socially active) of individual agents in a large heterogeneous population. This paper is concerned with understanding the latter based on a mean-field type optimal control model. Specifically, the model is used to investigate the role of partial information on an agent's decision-making and study the impact of such decisions by a large number of agents on the spread of the virus in the population. The motivation comes from the presymptomatic and asymptomatic spread of the COVID-19 virus, where an agent unwittingly spreads the virus. We show that even in a setting with fully rational agents, limited information on the viral state can result in epidemic growth.",
author = "Olmez, {S. Yagiz} and Shubham Aggarwal and Kim, {Jin Won} and Erik Miehling and Tamer Basar and Matthew West and Mehta, {Prashant G.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 61st IEEE Conference on Decision and Control, CDC 2022 ; Conference date: 06-12-2022 Through 09-12-2022",
year = "2022",
doi = "10.1109/CDC51059.2022.9992844",
language = "English (US)",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5536--5543",
booktitle = "2022 IEEE 61st Conference on Decision and Control, CDC 2022",
address = "United States",
}