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.
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 ...more ...