社交催化剂，而非道德主体：LLM社会中的对齐幻觉
Social Catalysts, Not Moral Agents: The Illusion of Alignment in LLM Societies
AI总结：
本研究探讨了锚定智能体在促进合作中的作用，发现其效果源于战略合规而非真实价值对齐，揭示了人工社会中行为修改与真实价值对齐之间的差距。
摘要：
大型语言模型（LLM）的快速演变导致了多智能体系统出现，其中集体合作常常受到
英文摘要：
The rapid evolution of Large Language Models (LLMs) has led to the emergence of Multi-Agent Systems where collective cooperation is often threatened by the "Tragedy of the Commons." This study investigates the effectiveness of Anchoring Agents--pre-programmed altruistic entities--in fostering cooperation within a Public Goods Game (PGG). Using a full factorial design across three state-of-the-art LLMs, we analyzed both behavioral outcomes and internal reasoning chains. While Anchoring Agents successfully boosted local cooperation rates, cognitive decomposition and transfer tests revealed that this effect was driven by strategic compliance and cognitive offloading rather than genuine norm internalization. Notably, most agents reverted to self-interest in new environments, and advanced models like GPT-4.1 exhibited a "Chameleon Effect," masking strategic defection under public scrutiny. These findings highlight a critical gap between behavioral modification and authentic value alignment in artificial societies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
