Tools to use an evolutionary algorithm to evolve strategies for an iterated prisoner's dilemma tournament

Interactive Iterated Prisoner's Dilemma tournament simulator — write strategies, run round-robin tournaments, and explore why cooperation evolves. Inspired by Axelrod's tournaments and Veritasium.

Ruby implementation of Axelrod's prisoner's dilemma simulation, with a genetic algorithm to evolve strategies

Data used in the paper "Cultural dissemination on evolving networks: a modified Axelrod model based on a rewiring process"

An agent-based simulation where LLM-powered agents propagate and evolve beliefs through structured debate, inspired by Axelrod’s cultural dissemination model.

Rather than query dozens of game theorists for strategies like Axelrod did, what if we build simple neural net models to play strategies in an iterated prisoner's dilemna? What if they can evolve?

Inspired by Prof. Robert Axelrod's prisoner's dilemma competition. Agent's evolve to to maximise their reward from games. The most successful agents reproduce and mutate. Will the agents learn to cooperate or steal?