Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation

Simulating group-level user behavior enables scalable counterfactual evaluation of merchant strategies without costly online experiments. However, building a trustworthy simulator faces two structural challenges. First, information incompleteness causes reasoning-based simulators to over-rationalize when unobserved factors such as offline context and implicit habits are missing. Second, mechanism duality requires capturing both interpretable preferences and implicit statistical regularities, whi

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ethics.ai (16 April 2026), “Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation,” evidence record 5768, https://ethics.ai/record/5768 (originally published by arXiv).

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