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Evolving strategies for an Iterated Prisoner's Dilemma tournament is a fascinating exploration of game theory and cooperation. It's intriguing to witness how various strategies emerge and adapt over time, striving to strike a balance between cooperation and competition.

In such tournaments, strategies evolve through iterations and adaptations, mirroring the dynamics of real-world decision-making. It's a testament to the complexity and diversity of human thought and behavior.

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Heads up to readers: this is a long article with lots of code samples and interactive charts. If you're reading on a mobile device, you might want to save this one until you can get to a wider screen! It may take a while to load all the charts.

Introduction

This is a longish post about using a simple evolutionary algorithm in Python to create a strategy for playing the famous Prisoner's Dilemma game (actually, the version known as Iterated Prisoner's Dilemma, hereafter referred to as IPD). If you're not already familiar with the Prisoner's ...

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