Agent-based modeling (ABM) is a powerful and widely used approach to quantitatively simulate a system defined by a set of autonomous agents that operate and interact in discrete time steps. ABMs represent models at the microscale, which attempt to explain the emergence of higher order properties of the overall system. Depending on the system being modeled, each agent can represent a wide variety of entity types in an environment ranging from living cells in a biological process modeling, animals in an ecosystem modeling, to cities or countries in an economic model. These agents ‘live’ in their environment, or world, whose organization may vary substantially depending on the particular application.[...]
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