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CITATION.cff
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cff-version: 1.2.0
title: 'EGTtools: Toolbox for Evolutionary Game Theory'
abstract: >-
This Python package provides efficient implementation of analytical and numerical
Evolutionary Game Theory methods and models
message: >-
Please cite this software using the metadata from
'preferred-citation'.
type: software
authors:
- family-names: "Fernández Domingos"
given-names: "Elias"
orcid: "https://orcid.org/0000-0002-4717-7984"
affiliation: Machine Learning Group, Université Libre de Bruxelles
email: [email protected]
keywords:
- Evolutionary Game Theory
- EGT
- Python
- C++
- modeling
- computational social sciences
version: 0.1.12
doi: 10.5281/zenodo.7256084
date-released: 2022-12-19
url: "https://github.com/Socrats/EGTTools"
license: GPL-3.0-or-later
preferred-citation:
type: article
authors:
- family-names: "Fernández Domingos"
given-names: "Elias"
orcid: "https://orcid.org/0000-0002-4717-7984"
- family-names: "Santos"
given-names: "Francisco C."
- family-names: "Lenaerts"
given-names: "Tom"
doi: https://doi.org/10.1016/j.isci.2023.106419
journal: "iScience"
title: "EGTtools: Evolutionary Game Dynamics in Python"
year: 2023
volume: 26
number: 4
pages: 106419