AgentBasedModeling.jl: a tool for stochastic simulation of structured population dynamics
Agent-based models capture heterogeneity among individuals in a population and are widely used in studies of multi-cellular systems, disease, epidemics and demography to name a few. However, existing frameworks consider discrete time-step simulation or assume that agents' states only change as...
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Zusammenfassung: | Agent-based models capture heterogeneity among individuals in a population
and are widely used in studies of multi-cellular systems, disease, epidemics
and demography to name a few. However, existing frameworks consider discrete
time-step simulation or assume that agents' states only change as a result of
discrete events. In this note, we present AgentBasedModeling$.$jl, a Julia
package for simulating stochastic agent-based population models in continuous
time. The tool allows to easily specify and simulate agents evolving through
generic continuous-time jump-diffusions and interacting via continuous-rate
processes. AgentBasedModeling$.$jl provides a powerful methodology for studying
the effects of stochasticity on structured population dynamics. |
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DOI: | 10.48550/arxiv.2409.19294 |