AINeutralarXiv – CS AI · Jun 236/10
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Structural Distinguishability of Static and Adaptive Policy Regimes in Agent-Based Regulatory Simulation
Researchers present a controlled simulation benchmark for agent-based models (ABMs) that evaluates emissions regulation by comparing four policy-agent adaptation regimes. The study demonstrates that regulatory conclusions can differ significantly based on whether policies and agents adapt, even when average outcomes appear identical, establishing a methodological framework for more rigorous policy evaluation in complex systems.
