发表机构
Kafkas University（卡夫卡斯大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出人工智能体社会学新领域，以“人工社会事实”为桥梁，研究AI智能体互动中自发涌现的集体模式。
AI 中文摘要
社会学源于孔德将社会作为“社会物理学”形式进行研究的雄心，后来由涂尔干的社会事实概念加以完善，社会事实是一种无法还原为任何单个个体行为的集体规律性。本文认为，一个结构上类似的问题现在正在一个新领域出现：人工智能体之间的互动。借鉴近期实证研究，这些研究表明，大型语言模型智能体群体通过反复互动能够自发形成共享惯例和集体偏见，本文提出了一个新的研究领域——人工智能体社会学，致力于研究在人工智能体自身之间涌现的、不依赖人类直接介入的关系性、规范性、文化性和组织性模式。本文引入了“人工社会事实”这一概念，作为经典社会学与这一新研究领域之间的分析桥梁，同时提醒不要将人工智能系统拟人化。本文的主张并非人工智能体以人类意义上的方式形成社会，而是它们的互动已经产生了可测量的集体模式，值得进行系统的社会学研究。
英文摘要
Sociology emerged from Comte's ambition to study society as a form of "social physics" and was later refined by Durkheim's concept of the social fact a collective regularity that cannot be reduced to any single individual's behavior. This essay argues that a structurally similar problem is now emerging in a new domain: interactions among artificial intelligence agents. Drawing on recent empirical work showing that populations of large language model agents can spontaneously develop shared conventions and collective biases through repeated interaction, the essay proposes a new field of inquiry the Sociology of Artificial Agents dedicated to studying the relational, normative, cultural, and organizational patterns that emerge among AI agents themselves, independent of direct human involvement. It introduces the concept of the "artificial social fact" as an analytical bridge between classical sociology and this new research terrain, while cautioning against anthropomorphizing AI systems. The claim is not that artificial agents form societies in the human sense, but that their interactions already produce measurable collective patterns worthy of systematic sociological study.
Comments6 pages
