论文标题

DYPY:用于模拟矩阵形式游戏的Python库

DyPy: A Python Library for Simulating Matrix-Form Games

论文作者

Nande, Anjalika, Ferdowsian, Andrew, Lubin, Eric, Yoeli, Erez, Nowak, Martin

论文摘要

进化游戏理论(EGT)模拟用于模拟从生物学到经济学再到语言学的一系列领域中经历生物学和文化进化的种群。在本文中,我们提出了DYPY,这是一个开源Python软件包,可以为三种常见的进化动力学的任何矩阵表单游戏执行进化模拟:Moran,Wright-Fisher和Replicator。我们讨论了此软件包的基本组件,并说明了如何使用它来运行各种模拟。我们的软件包允许用户在没有太多先前的Python知识的情况下很容易地运行此类模拟。我们希望这对许多不同领域的研究人员来说将是一项巨大的资产。

Evolutionary Game Theory (EGT) simulations are used to model populations undergoing biological and cultural evolution in a range of fields, from biology to economics to linguistics. In this paper we present DyPy, an open source Python package that can perform evolutionary simulations for any matrix form game for three common evolutionary dynamics: Moran, Wright-Fisher and Replicator. We discuss the basic components of this package and illustrate how it can be used to run a variety of simulations. Our package allows a user to run such simulations fairly easily without much prior Python knowledge. We hope that this will be a great asset to researchers in a number of different fields.

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