@inproceedings{liao-etal-2026-role,
title = "How do Role Models Shape Collective Morality? Exemplar-Driven Moral Learning in Multi-Agent Simulation",
author = "Liao, Junjie and
Tang, Huacong and
Ziheng, Zhou and
Wang, Yizhou and
Zhong, Fangwei",
editor = "Liakata, Maria and
Moreira, Viviane P. and
Zhang, Jiajun and
Jurgens, David",
booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
month = jul,
year = "2026",
address = "San Diego, California, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.acl-long.1992/",
pages = "42981--43016",
ISBN = "979-8-89176-390-6",
abstract = "We investigate how role models shape collective morality. To explore this, we build a multi-agent simulation powered by a Large Language Models (LLMs), 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 substantially reshape the initial dispositions. Agents tend to adapt their values to align with a perceived successful exemplar, leading to rapid value convergence."
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%0 Conference Proceedings
%T How do Role Models Shape Collective Morality? Exemplar-Driven Moral Learning in Multi-Agent Simulation
%A Liao, Junjie
%A Tang, Huacong
%A Ziheng, Zhou
%A Wang, Yizhou
%A Zhong, Fangwei
%Y Liakata, Maria
%Y Moreira, Viviane P.
%Y Zhang, Jiajun
%Y Jurgens, David
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-390-6
%F liao-etal-2026-role
%X We investigate how role models shape collective morality. To explore this, we build a multi-agent simulation powered by a Large Language Models (LLMs), 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 substantially reshape the initial dispositions. Agents tend to adapt their values to align with a perceived successful exemplar, leading to rapid value convergence.
%U https://aclanthology.org/2026.acl-long.1992/
%P 42981-43016
Markdown (Informal)
[How do Role Models Shape Collective Morality? Exemplar-Driven Moral Learning in Multi-Agent Simulation](https://aclanthology.org/2026.acl-long.1992/) (Liao et al., ACL 2026)
ACL