Ultimatum Game - Fairness & Rejection

Stake: $100

Avg Offer: 50%

Stake Amount: $100

Population: 100

Fairness Weight (β): 0.30

Reputation Effect: 0.20

Mutation Rate: 0.05

Generation:0

Avg Offer:50%

Avg Threshold:30%

Acceptance Rate:0%

Avg Payoff:$0

Game Theory Prediction:1%, Accept

About this simulation: The Ultimatum Game (Güth et al., 1982) reveals human fairness preferences. A proposer offers a split of money; a responder accepts or rejects. If rejected, both get nothing. Rational self-interest predicts minimal offers, but experiments show offers around 40-50% and rejections of offers below 30%. This simulation evolves both offer strategies and rejection thresholds, demonstrating how fairness norms emerge.