How do Role Models Shape Collective Morality? Exemplar-Driven Moral Learning in Multi-Agent Simulation
Junjie Liao, Huacong Tang, Zhou Ziheng, Yizhou Wang, and Fangwei Zhong

TL;DR
This paper uses a multi-agent simulation powered by a Large Language Model to study how role models influence collective morality, showing that identity-driven conformity leads to rapid value alignment among agents.
Contribution
It introduces a novel multi-agent simulation framework with LLMs to explore the impact of role models on moral learning and collective values.
Findings
Agents rapidly align their values with successful exemplars
Identity-driven conformity overrides initial dispositions
Values converge quickly through imitation in the simulation
Abstract
Do We Need Role Models? How do Role Models Shape Collective Morality? To explore the questions, we build a multi-agent simulation powered by a Large Language Model, where agents with diverse intrinsic drives, ranging from cooperative to competitive, interact and adapt through a four-stage cognitive loop (plan-act-observe-reflect). We design four experimental games (Alignment, Collapse, Conflict, and Construction) and conduct motivational ablation studies to identify the key drivers of imitation. The results indicate that identity-driven conformity can powerfully override initial dispositions. Agents consistently adapt their values to align with a perceived successful exemplar, leading to rapid value convergence.
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Taxonomy
TopicsLanguage and cultural evolution · Multi-Agent Systems and Negotiation · Psychology of Moral and Emotional Judgment
