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APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents

LLM-agent simulation offers a flexible computational tool for studying population response trajectories that depend on scenario events, memory, demographics, and evolving social context. However, full multi-round simulation scales linearly with both population size and horizon, requiring every agent to query the LLM at every round. We propose Adaptive Prototype Simulation (APS), a framework that reframes scalable LLM-based simulation as a recurrent oracle-allocation problem. APS retains the desi

Record details

Published: 19 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Agents & autonomy
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (19 May 2026), “APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents,” evidence record 4041, https://ethics.ai/record/4041 (originally published by arXiv).

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