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J. Fernando Sánchez fc48ed7e09 Added history class 
Now the environment does not deal with history directly, it delegates it to a
specific class. The analysis also uses history instances instead of either
using the database directly or creating a proxy environment.

This should make it easier to change the implementation in the future.

In fact, the change was motivated by the large size of the csv files in previous
versions. This new implementation only stores results in deltas, and it fills
any necessary values when needed.
 		6 years ago
docs Improved docs 7 years ago
examples Added history class 6 years ago
soil Added history class 6 years ago
tests Added history class 6 years ago
.gitignore WIP soil 7 years ago
Dockerfile Compatibility with py3.4 7 years ago
LICENSE Create LICENSE 8 years ago
MANIFEST.in WIP soil 7 years ago
README.md Improved docs 7 years ago
debug.py WIP soil 7 years ago
docker-compose.yml Added history class 6 years ago
logo_gsi.png added logos 7 years ago
logo_gsi.svg Added GSI logo 7 years ago
requirements.txt Added history class 6 years ago
setup.py Added history class 6 years ago
test-requirements.txt WIP soil 7 years ago

README.md

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

SOIL