Emergent Markets

Simulations

Reference economies, measured end to end.

Each reference simulation ships as a configurable template: population, mechanism design, shocks and metrics. Results below are drawn from internal benchmark runs.

LIBSimulation library

Five environments in the standard library.

SIM-01Environment

AI Supply Chain

Suppliers, manufacturers, distributors and buyers operate as autonomous agents under variable demand, lead times and capacity shocks.

Agents
42,000
Duration
18 simulated months
Interactions
310M

Economic metrics

Fill rate
94.2%
Inventory cost
−17.8%
Bullwhip index
2.4×

Emergent outcome

Agents converged on implicit buffer-stock norms after month 7, dampening demand oscillation without any central coordinator.

SIM-02Environment

Autonomous Financial Market

Market makers, momentum traders and fundamental agents trade a synthetic asset on a continuous double auction with realistic latency.

Agents
128,000
Duration
5 simulated years
Interactions
2.1B

Economic metrics

Spread
3.1 bps
Volatility
σ 0.192
Liquidity depth
1.8M units

Emergent outcome

Liquidity withdrawal cascades appeared under correlated inventory limits, producing flash-crash dynamics absent from single-model tests.

SIM-03Environment

Multi-Agent Logistics

Fleet, warehouse and routing agents bid for capacity across a congested network with stochastic disruptions.

Agents
26,500
Duration
12 simulated weeks
Interactions
84M

Economic metrics

On-time rate
96.4%
Idle capacity
11.2%
Cost / unit
−9.6%

Emergent outcome

Stable regional coalitions formed to hedge disruption risk, trading marginal efficiency for reliability.

SIM-04Environment

Digital Labor Market

Task-issuing firms and worker agents negotiate compensation, reputation and contract duration in an open labor exchange.

Agents
310,000
Duration
3 simulated years
Interactions
940M

Economic metrics

Wage dispersion
Gini 0.38
Match rate
88.9%
Contract churn
0.21 / mo

Emergent outcome

Reputation became the dominant price signal, creating persistent incumbency advantage for early entrants.

SIM-05Environment

Research Economy

Research agents allocate scarce compute between exploration and exploitation while trading intermediate results.

Agents
9,400
Duration
24 simulated months
Interactions
47M

Economic metrics

Compute utilization
91.7%
Novel results
1,284
Duplication rate
6.3%

Emergent outcome

Open result-sharing regimes outperformed closed ones on aggregate discovery, but concentrated returns in three agent clusters.

Market equilibrium

EQUILIBRIUM

Agent cluster formation

Propose a custom environment for your domain.

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