High Volatility and Action Bias Distinguish LLMs from Humans in Group Coordination
Humans exhibit remarkable abilities to coordinate in groups. As large language models (LLMs) become more capable, it remains an open question whether they can demonstrate comparable adaptive coordination and whether they use the same strategies as humans. To better understand this, we compare LLM and human performance on a common-interest game with imperfect monitoring: Group Binary Search. In this $n$-player game, participants need to coordinate their actions to achieve a common objective. Players independently submit numerical values in an effort to collectively sum to a randomly assigned target number. Without direct communication, they rely on group feedback to iteratively adjust thei...
| Authors | Sahaj Singh Maini, Robert L. Goldstone, Zoran Tiganj |
|---|---|
| Primary category | cs.MA |
| Published | 2 April 2026 |
| Last updated at source | 1 October 2026 |
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