Search

This work presents an agent-based computational model to analyze abstract scenarios of supermarket attendance dynamics in pandemic conditions. Scenarios with 30% capacity in the establishment and quarantine practices to mitigate the impact of infections are formulated. Elements of decision process of individuals with bounded rationality of Brian Arthur's "Bar El Farol" model and the epidemic diffusion dynamics of susceptible-infected-recovered agent-based model are considered. Through the model and the parameter variation technique, an exercise is carried out to understand the dynamics of contagions from individual decision-making motivated by attending a supermarket. We found that the local information processing by the agents is decisive for exceeding a 30% of capacity even when part of the infected population applies quarantine. [ABSTRACT FROM AUTHOR]