Game theory, urban growth, traffic dynamics and social behaviour — model complex socioeconomic systems with interacting agents.
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Agents, strategies, and emergence — from Nash equilibria to urban patterns
Economics and social systems simulations model how individual agents, each following simple local rules, create complex collective phenomena — from rush-hour traffic jams to residential segregation patterns. These agent-based models demonstrate that macroscopic order can emerge from microscopic interactions without any central planner.
Game theory simulations let you explore the Prisoner's Dilemma and Hawk-Dove dynamics: watch how cooperation or aggression evolve through repeated interactions and payoff matrices. The evolutionary game theory model shows how strategies compete and spread in a population via replicator dynamics — the same framework biologists use to explain altruism in nature.
Urban simulations apply cellular automata to city growth (DLA diffusion-limited aggregation) and traffic (Nagel-Schreckenberg model). The Schelling segregation model proves that even mild individual preferences for similar neighbours produce stark spatial segregation — a powerful insight that changed urban sociology.
Topics and algorithms you'll explore in this category
Five quick questions to check your understanding of economics concepts
Common questions about this simulation category