Axelrod's Algorithm

Axelrod's Algorithm is a method to determine the best strategy for cooperation in repeated interactions, like the Prisoner's Dilemma. It involves testing various strategies against each other over multiple rounds, allowing them to learn and adapt. Strategies that tend to cooperate and reciprocate kindness earn higher scores and are thus considered more successful. The algorithm identifies which strategies perform best over time, helping to understand how cooperative behavior can emerge and sustain in competitive environments. Essentially, it’s a systematic way to analyze and discover effective strategies for cooperation in ongoing interactions.