MLPro-GT-game theory and dynamic games modeling in Python
Game theory, a fundamental aspect of mathematical economics and strategic decision-making, has been increasingly applied to various fields, including economics, biology, computer science, and engineering. Despite its growing importance, there is a significant lack of flexible and user-friendly tools for standardized modeling of them, particularly for real-world applications. Hence, we developed MLPro-GT as part of our open-source MLPro project, which offers modular and standardized yet flexible components, extensive documentation, and a variety of examples. MLPro-GT allows researchers and practitioners to easily incorporate game theory into their applications while lowering the entry barrier for students. This makes individual work more reproducible, shareable, and reusable.
Authors
- Detlef Arend (ORCID: https://orcid.org/0000-0002-8315-2346)
- Andreas Schwung (ORCID: https://orcid.org/0000-0001-8405-0977)
- Steve Yuwono (ORCID: https://orcid.org/0000-0001-7570-2726)
Institutions
- South Westphalia University of Applied Sciences (DE)
Publication Details
- Journal
- SoftwareX
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1016/j.softx.2024.101956
- Primary Topic
- Opinion Dynamics and Social Influence
- Type
- article
- Field-Weighted Citation Impact
- 0.00