… , agent-based modeling is a relatively new approach to model complex systems composed
of agents … classical mathematical models (which consider a homogenous population), agent-…

… We wanted to capture the benefits of agent-based modeling (in particular, the ability of such
models to simulate the kinds of microscale policies being used to respond to the COVID-19 …

… Here, we present results of a stochastic agent-based microsimulation model of the COVID-19
epidemic in France. We examined the potential impact of post-lockdown measures, …

… Few works in the literature used agent-based models to simulate … In this work, we use a SEIR
agent-based model to simulate … but the proposed agent-based model is fully parameterized …

… genomic surveillance and agent-based modeling reinforces our conclusions. … agent-based
infectious disease models in contrast to the simulation of population-level dynamics models …

… we constructed a curriculum unit composed of Agent-Based models that simulate the spread
of … the models, and that participants seemed to connect the skills addressed in the models to …

… and Agent-Based Models (ABMs) is now widely accepted and used to document such models
… groups also find it useful as a workflow for model design. Even so, there are still limitations …

… We develop an Agent-Based model to study the role of demand vs. supply in determining …
selection in the goods markets characterize the model. We show that the importance of …

… of SC network topology on the effectiveness of risk management strategies (inventory
mitigation, contingent rerouting) and ultimately on SC resilience using agent-based modeling. …

… HiDAC combines a social forces model with a rulebased model to yield interesting emergent
… This approach is not agent based, which means that we cannot have individual goals for …