用 Python 进行 MLPro-GT 游戏理论和动态游戏建模

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-04 DOI:10.1016/j.softx.2024.101956

Steve Yuwono, Detlef Arend, Andreas Schwung

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引用次数: 0

摘要

博弈论是数理经济学和战略决策的一个基本方面，已越来越多地应用于经济学、生物学、计算机科学和工程学等各个领域。尽管博弈论的重要性与日俱增，但在对其进行标准化建模方面，尤其是在现实世界的应用中，却严重缺乏灵活且用户友好的工具。因此，我们开发了 MLPro-GT，作为开源 MLPro 项目的一部分，该项目提供模块化、标准化且灵活的组件、丰富的文档和各种示例。MLPro-GT 允许研究人员和从业人员轻松地将博弈论融入他们的应用中，同时降低了学生的入门门槛。这使得个人工作更具可复制性、可共享性和可重用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.