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Efficient Computation of Emergent Equilibrium in Agent-Based Simulation

AAAI 2016 · Multi-agent systems and games › Games and equilibria · approach: Opponent modeling in competitive games · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use numerical-continuation framework instead of Monte Carlo experiments for equilibrium computationOpinion dynamics model · Opinion dynamics, lambda 2500-5000computation timeHelped
Use numerical-continuation framework instead of Monte Carlo experimentsOpinion dynamics model · Opinion dynamicsB-test p-value: 0.2254 to 0.6738No clear effect
Use numerical-continuation framework instead of MCELabour market model · Labour marketcomputation timeHelped
Use numerical-continuation framework instead of MCELabour market model · Labour marketB-test p-value (accuracy): 0.3875 to 0.7974No clear effect
Compare against minimum time for MCE to reach convergence (inflection point)Opinion dynamics model · Opinion dynamicscomputation timeHelped
Add Newton-GMRES corrector when Heun one-step error exceeds threshold (more complex model)Labour market model · Labour marketexecution timeHurt

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