The Origin of Wealth

Interactive Simulations of Complexity Economics

In 2006, Eric Beinhocker argued that the economy is not a machine in equilibrium but a complex adaptive system — an evolving ecology of interacting agents whose collective behavior produces emergent phenomena no individual intended. These eight simulations bring that thesis to life: from fat-tailed stock returns and bullwhip cascades to the spontaneous emergence of cooperation and inequality from nothing more than simple rules and local interaction.

Research Findings →

Simulations

01
SFI Artificial Stock Market
Emergent bubbles and crashes from heterogeneous learning agents. Watch as technical and fundamental strategies co-evolve, producing fat tails and volatility clustering that mirror real markets.
Fat tails · Volatility clustering →
02
The Beer Game
The bullwhip effect in supply chains: small demand shocks amplify into wild oscillations upstream. Delays and local rationality conspire to create endogenous business cycles from nothing.
Endogenous cycles · Delay amplification →
03
Boolean Networks
Kauffman's NK model reveals a phase transition: too little connectivity and the system is frozen; too much and it melts into chaos. Life — and innovation — thrives at the edge.
Phase transitions · Edge of chaos →
04
Punctuated Equilibrium
Self-organized criticality in interconnected ecosystems. Long periods of stasis are interrupted by sudden power-law cascades of extinction and renewal — creative destruction made visible.
Power-law cascades · Creative destruction →
05
Rigids vs Flexibles
Two organizational strategies compete: rigid efficiency versus flexible adaptation. When the environment shifts, the diversity-efficiency tradeoff determines who survives and who collapses.
Diversity · Efficiency tradeoff →
06
Prisoner's Dilemma
Axelrod's tournament brought to life: strategies evolve through spatial interaction and selection. Cooperation emerges spontaneously — no central authority required, just repeated local encounters.
Emergent cooperation →
07
Sugarscape
Epstein and Axtell's classic: agents forage on a landscape and emergent inequality, trade, and migration arise from nothing but simple behavioral rules. Wealth distributions mirror reality.
Wealth distribution · Emergent markets →
08
Technology Evolution
Innovation as combinatorial search on fitness landscapes. Technologies recombine and mutate, producing bursts of creative destruction as old paradigms collapse and new ones take hold.
Combinatorial search · Creative destruction →
09
The Integrated Economy
When models collide. Firms operate supply chains, trade on stock markets, face ecosystem-level creative destruction, and adapt their organizational structure — all at once.
Cross-model integration · Emergent macro →

Five Principles of Complexity Economics

Principle I
Markets are not in equilibrium. They are dynamic, evolving systems far from any resting state — perpetually adapting, never arriving.
Principle II
Complexity emerges from interaction. Macro-level patterns — prices, norms, institutions — arise from micro-level rules without top-down design.
Principle III
Delay amplifies instability. Information lags and feedback loops turn small perturbations into large oscillations throughout the system.
Principle IV
Diversity enables adaptation. Heterogeneous strategies provide the raw material for evolutionary selection — monocultures are fragile.
Principle V
Power laws are inevitable. In interconnected systems, outcomes follow heavy-tailed distributions: many small events, rare enormous ones.