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      DyPy: A Python Library for Simulating Matrix-Form Games

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          Abstract

          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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          Author and article information

          Journal
          27 July 2020
          Article
          2007.13815
          438a24b2-b849-4bba-a0d7-da897ba0ac4c

          http://creativecommons.org/licenses/by/4.0/

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          Custom metadata
          q-bio.PE q-bio.QM

          Evolutionary Biology,Quantitative & Systems biology
          Evolutionary Biology, Quantitative & Systems biology

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