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Evolutionary Game Theory

Gen 0 Hawk  UA
Strategy Frequencies
Trend (last 300 gen)
Payoff Matrix
Game
Value (V) 4
Cost (C) 6
Noise 2%
Speed

Evolutionary Game Theory Simulation

A spatial evolutionary game where thousands of agents interact on a grid, imitating their most successful neighbours. Choose from three classic games: Hawk-Dove (aggression vs. passivity), Prisoner's Dilemma (cooperation vs. defection) and Rock-Paper-Scissors (cyclic dominance). Replicator dynamics drives strategy frequencies toward Nash equilibria and evolutionarily stable strategies (ESS).

What It Demonstrates

The emergence of evolutionarily stable strategies without central coordination. In Hawk-Dove, the ESS is a mixed strategy at p* = V/C hawks. In the Prisoner's Dilemma, spatial structure enables cooperation clusters to resist invasion by defectors. In Rock-Paper-Scissors, cyclic dominance creates rotating spiral waves.

How to Use

Select a game mode, then adjust V (resource value) and C (fight cost) for Hawk-Dove, or Temptation for Prisoner's Dilemma. Watch the payoff matrix and ESS prediction update live. Increase noise to add mutation/exploration. Use 10× speed to fast-forward to steady state.

Did You Know?

John Maynard Smith introduced the hawk-dove game in 1973 to explain why animals often limit aggression even when they could win a fight. The ESS concept revolutionised biology by showing that game-theoretic equilibria — not just fitness maximisation — drive natural selection.