Discovering Differences in Strategic Behavior Between Humans and LLMs 事件

Discovering Differences in Strategic Behavior Between Humans and LLMs arXiv:2602.10324v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) are increasingly deployed in social and strategic scenarios, it becomes critical to understand where and why their behavior diverges from that of humans. While behavioral game theory (BGT) provides a framework for analyzing behavior, existing models do not fully capture the idiosyncratic behavior of humans or black-box, non-human agents