Replicator Dynamics & Evolutionary Game Lab

Watch successful strategies spread through a population and explore evolutionary stability.

Evolutionary Strategy Population

Generation0
Average fitness0
Dominant strategy

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.

What to observe: a strategy grows when its fitness is above the population average. Evolutionary stability is about resistance to invasion, not necessarily maximizing total welfare.