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bioRxiv · 10.1101/300004

egtplot: A Python Package for 3-Strategy Evolutionary Games

Abstract

1. Introduction 1. Introduction 2. Function Arguments 3. Illustrative Examples 4. Parameter Sweeps 5. Animations References Evolutionary game theory is a reformulation of classical game theory wherein the players of the game are members of a population. These members do not choose a strategy, but instead are born with their strategy ingrained--they cannot change strategy during the game. In biological terms, the strategies might represent discrete species or genotypes, hawks and doves being a classic example. Payoffs the players gain or lose based on their interactions with other players increase or decrease their fitness, thereby influencing the number or proportion of members playing that strategy in the next generation. As such, the populations of strategies can wax and wane as they outcompete or are outcompete ...

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BibTeXRIS

Mirzaev, I., Williamson, D., Scott, J. G.. 2018-04-12. egtplot: A Python Package for 3-Strategy Evolutionary Games. https://doi.org/10.1101/300004

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