… Like equationbased modeling, but unlike prose, agent-based models … models, agentbased
models can include agents that are heterogeneous in their features and abilities, can model …

… in agentbased modeling should be valuable even to those who go on not to build models but
to use the science developed via modeling… find familiarity with the modeling process a very …

… 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 …

… 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 …

… 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 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 …

… 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 …

… Cell-based computational models (also known as discrete models, agent-based models,
or individual-based models) simulate individual cells as they interact in virtual tissues, which …

… One fruitful approach to modeling swarms has been to treat each individual as a discrete
particle. These “individual-based” models … They are based on simple rules of motion for each …

… While we base our modelling on established economic models of behaviour and empirical
data from surveys, additional empirical research is required to calibrate and validate the …