General Automatic Solution Generation for Social Problems  

作　　者：Tong Niu Haoyu Huang Yu Du Weihao Zhang Luping Shi Rong Zhao 

机构地区：[1]Center for Brain-Inspired Computing Research(CBICR),Optical Memory National Engineering Research Center,and Department of Precision Instrument,Tsinghua University,Beijing,100084,China [2]IDG/McGovern Institute for Brain Research,Tsinghua University,Beijing,100084,China [3]THU-CET HIK Joint Research Center for Brain-Inspired Computing,Beijing,100084,China

出　　处：《Machine Intelligence Research》2025年第1期145-159,共15页机器智能研究(英文版)

基　　金：supported by the National Key Research and Development Program of China(No.2021ZD0200300);the National Nature Science Foundation of China(Nos.61836004 and 62088102);the IDG/McGovern Institute for Brain Research at Tsinghua University,China.

摘　　要：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 the 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 built upon agent-based models that enables 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 functional viability.To demonstrate the effectiveness of the 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 nonprofit purposes.This study demonstrated that ASOS provides an efficient and systematic approach for generating solutions for enhancing our society.

关 键 词：General automatic generation global-local regulation hypergraph social representation symbolic hybrid scheme generalized operation protocol 

分 类 号：O17[理学—数学]