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https://github.com/gsi-upm/soil
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af9a392a93
All tests pass but some features are still missing/unclear: - Mesa agents do not have a `state`, so their "metrics" don't get stored. I will probably refactor this to remove some magic in this regard. This should get rid of the `_state` dictionary and the setitem/getitem magic. - Simulation is still different from a runner. So far only Agent and Environment/Model have been updated.
SOIL
Soil is an extensible and user-friendly Agent-based Social Simulator for Social Networks. Learn how to run your own simulations with our documentation.
Follow our tutorial to develop your own agent models.
If you use Soil in your research, don't forget to cite this paper:
@inbook{soil-gsi-conference-2017,
author = "S{\'a}nchez, Jes{\'u}s M. and Iglesias, Carlos A. and S{\'a}nchez-Rada, J. Fernando",
booktitle = "Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection",
doi = "10.1007/978-3-319-59930-4_19",
editor = "Demazeau Y., Davidsson P., Bajo J., Vale Z.",
isbn = "978-3-319-59929-8",
keywords = "soil;social networks;agent based social simulation;python",
month = "June",
organization = "PAAMS 2017",
pages = "234-245",
publisher = "Springer Verlag",
series = "LNAI",
title = "{S}oil: {A}n {A}gent-{B}ased {S}ocial {S}imulator in {P}ython for {M}odelling and {S}imulation of {S}ocial {N}etworks",
url = "https://link.springer.com/chapter/10.1007/978-3-319-59930-4_19",
volume = "10349",
year = "2017",
}
@Copyright GSI - Universidad Politécnica de Madrid 2017
