Replicator Dynamics & Evolutionary Game Lab
Watch successful strategies spread through a population and explore evolutionary stability.
Evolutionary Strategy Population
How this teaches game theory
Complete scenario, mode, and level guide
Replicator dynamics models how strategies that earn above-average payoff become more common over time.
Hawk–Dove
A conflict game with aggressive and peaceful behavior. It illustrates coexistence and evolutionary stability.
Coordination
Strategies benefit from matching the population. Small initial advantages can become self-reinforcing.
Rock–Paper–Scissors
Cyclic dominance can prevent a single strategy from permanently taking over.
Modes
Human Sets Population
Use the boost buttons to alter initial shares, then observe selection.
Human Intervention
You may intervene after generations to see how shocks alter evolutionary paths.
Computer Simulation
The population evolves automatically without intervention.
Levels
Level 1 — Two Strategies
Uses the first two strategies and emphasizes basic selection pressure.
Level 2 — Three Strategies
Adds a third strategy, allowing richer population dynamics.
Level 3 — Mutation + Noise
Adds small mutation and random fitness noise so extinct strategies can reappear and paths become less deterministic.