Agents.jl is a pure Julia framework for agent-based modeling (ABM): a computational simulation methodology where autonomous agents react to their environment (including other agents) given a predefined set of rules. Some major highlights of Agents.jl are:
More information and an extensive list of features can be found in the documentation, which you can either find online or build locally by running the docs/make.jl
file.
If you use this package in a publication, or simply want to refer to it, please cite the paper below:
@article{Agents.jl,
doi = {10.1177/00375497211068820},
url = {https://doi.org/10.1177/00375497211068820},
year = {2022},
month = jan,
publisher = {{SAGE} Publications},
pages = {003754972110688},
author = {George Datseris and Ali R. Vahdati and Timothy C. DuBois},
title = {Agents.jl: a performant and feature-full agent-based modeling software of minimal code complexity},
journal = {{SIMULATION}},
volume = {0},
number = {0},
}