Given the escalating intricacy and multifaceted nature of contemporary social systems, manually generating solutions to address pertinent social issues has become a formidable task. In response to this challenge, the rapid development of artificial intelligence has spurred the exploration of computational methodologies aimed at automatically generating solutions. However, current methods for auto-generation of solutions mainly concentrate on local social regulations that pertain to specific scenarios. Here, we report an automatic social operating system (ASOS) designed for general social solution generation, which is built upon agent-based models, enabling both global and local analyses and regulations of social problems across spatial and temporal dimensions. ASOS adopts a hypergraph with extensible social semantics for a comprehensive and structured representation of social dynamics. It also incorporates a generalized protocol for standardized hypergraph operations and a symbolic hybrid framework that delivers interpretable solutions, yielding a balance between regulatory efficacy and function viability. To demonstrate the effectiveness of ASOS, we apply it to the domain of averting extreme events within international oil futures markets. By generating a new trading role supplemented by new mechanisms, ASOS can adeptly discern precarious market conditions and make front-running interventions for non-profit purposes. This study demonstrates that ASOS provides an efficient and systematic approach for generating solutions for enhancing our society.

翻译：鉴于当代社会系统日益复杂且具有多重属性，手动生成解决相关社会问题的方案已成为一项艰巨任务。为应对这一挑战，人工智能的快速发展催生了对计算方法的探索，旨在自动生成解决方案。然而，当前的自动解决方案生成方法主要集中于针对特定场景的局部社会规则。本文报告了一种面向通用社会解决方案生成的自动化社会操作系统（ASOS），该系统基于智能体模型构建，能够对社会问题进行跨时空的全局与局部分析与调控。ASOS采用具有可扩展社会语义的超图，对社会动态进行全面的结构化表征，并整合了标准化超图操作的通用协议，以及一个提供可解释解决方案的符号混合框架，在调控效能与功能可行性之间取得平衡。为验证ASOS的有效性，我们将其应用于国际石油期货市场中极端事件的规避领域。通过生成一种辅以新机制的新型交易角色，ASOS能够敏锐识别危险市场状态，并出于非营利目的进行抢先干预。本研究证明，ASO为提升社会效益提供了高效且系统化的解决方案生成方法。