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.

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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
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article

MLPro-GT-game theory and dynamic games modeling in Python

Detlef Arend, Andreas Schwung, Steve Yuwono
SoftwareX
Opinion Dynamics and Social Influence
article

MLPro-GT-game theory and dynamic games modeling in Python

Detlef Arend, Andreas Schwung, Steve Yuwono
article en

Abstract

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.

SoftwareXVol. 28
South Westphalia University of Applied Sciences (DE)
Openalex Percentile: Top 82%
Opinion Dynamics and Social Influence
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MLPro-GT-game theory and dynamic games modeling in Python — Detlef Arend, Andreas Schwung, et al. · SoftwareX (2024) | TGRS Research Map | TGRS