Cognitively-plausible reinforcement learning in epidemiological agent-based simulations

IntroductionHuman behavior shapes the transmission of infectious diseases and determines the effectiveness of public health measures designed to mitigate transmission. To accurately reflect these dynamics, epidemiological simulation models should endogenously account for both disease transmission an...

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Bibliographic Details
Main Authors: Konstantinos Mitsopoulos, Lawrence Baker, Christian Lebiere, Peter Pirolli, Mark Orr, Raffaele Vardavas
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Epidemiology
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Online Access:https://www.frontiersin.org/articles/10.3389/fepid.2025.1563731/full
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