How do Role Models Shape Collective Morality? Exemplar-Driven Moral Learning in Multi-Agent Simulation
This addresses the problem of understanding moral dynamics in AI systems for researchers in multi-agent systems and ethics.
The study tackled how role models influence collective morality by simulating multi-agent interactions with diverse intrinsic drives, finding that identity-driven conformity overrides initial dispositions and leads to rapid value convergence.
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.