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🤝 2D Ultimatum Game

Population: 80 Mutation: 8%
Generation0
Mean offer—
Mean min-accept—
Rejection rate—
Avg payoff—

🤝 2D Ultimatum Game & Fairness — Evolving Offers

A 2D canvas companion to the 3D Ultimatum Game: the same evolutionary model — a population of agents repeatedly playing the ultimatum game with evolving offer and minimum-acceptable-offer strategies — rendered as flat colored discs and a live histogram instead of a WebGL scene.

🔬 What It Demonstrates

Classical game theory predicts a rational proposer should offer close to nothing. Here, agents that offer too little get rejected and lose payoff, so generosity is imitated more often over generations — the offer distribution drifts toward a fair 40-50% split.

🎮 How to Use

Adjust Population and Mutation rate, toggle the game-theoretic baseline marker, and Pause/Reset to restart the population from scratch.