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Description:
EGT-tools provides a centralized repository with analytical and numerical methods to study/model game theoretical problems under the Evolutionary Game Theory (EGT) framework. This library is composed of two parts: i) a set of analytical methods implemented in Python 3;ii) a set of computational methods implemented in C++ with (Python 3 bindings). The second type is used in cases where the state space is too big to solve analytically, and thus require estimating the model parameters through monte-carlo simulations. The C++ implementation provides optimized computational methods that can run in parallel in a reasonable time, while Python bindings make the methods easily accecible to a larger range of researchers.

More Information:
<ul>
<li>Grand Challenge/Workpackage(s): <a href="https://www.flandersairesearch.be/en/research/research-challenges/collaborative-ai" target="_blank" rel="noopener">GC3</a> - WP3</li>
<li>Responsible Research Lead: Tom Lenaerts</li>
<li>Authors: <a href="https://ai.vub.ac.be/team/elias-fernandez/" target="_blank" rel="noopener">Elias Fern&aacute;ndez Domingos</a></li>
<li>Programming Language: C++/Python</li>
<li>Link to the website:&nbsp;</li>
<li>Link to the repository: <a href="https://github.com/Socrats/EGTTools" target="_blank" rel="noopener">https://github.com/Socrats/EGTTools</a></li>
<li>Categories: Multi-agent systems, Evolutionary Dynamics</li>
</ul>

A Python/C++ library which provides a centralized repository with analytical and numerical methods to study/model game theoretical problems under the Evolutionary Game Theory (EGT) framework.