AINeutralarXiv – CS AI · 10h ago6/10
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Machine-Coached Policy Revision in Adaptive Agent-Based Regulatory Simulation: A Controller-Level Contestability Layer
Researchers propose a machine-coached policy-revision layer for adaptive agent-based models (ABMs) used in regulatory simulation, enabling real-time feedback and contestability of policy decisions through explainable symbolic rules rather than black-box optimization. The approach demonstrates practical application in emissions-regulation scenarios, balancing policy objectives while maintaining regulatory guardrails.