城市规划学刊Issue(6)：20-26,7.DOI:10.16361/j.upf.202306004
"城市众脑":理论模式及关键议题
Society Brains:Theoretical Model and Key Issues
摘要
Abstract
As AI technology represented by deep learning rises to prominence,the implementation of smart brain systems for cities is recognized as an indispensable strategy for city modernization.However,the City Brain system can not meet the challenge of modernization as intelligent systems relying on a single brain structure can not align with the complex organization of modern cities.This paper critically evaluate the City Brain concept,identifying four technical challenges facing the single-brain system:multi-layer decision-making pressure,information explosion,low transmission efficiency,and limited database capacity.This paper describes the con-ceptual shift from City Brain to Society Brains by introducing key features of collec-tive intelligence.It defines the concept of Society Brians and elucidates its learning mode,which can surpasses the limitation of the City Brain system by adopting a new AI model based on the collective learning of intelligent individuals during com-plex problem-solving.This paper raises and discusses nine key issues on Society Brains,including the origin of the concept,structure of decision making,components and linkages,division and cooperation,digital simulation,iterative development,prac-tical applications,elements interaction,and inter-social collaboration.Lastly,the pa-per illustrates the organization,operation,and evolution of Society Brains,highlight-ing their contributions to future development of smart cities and implications for fu-ture research.关键词
AI/众脑模型/群体智能/智慧城市/城市大脑Key words
AI/Society Brains/swarm intelligence/smart city/city brain分类
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吴志强,甘惟,李舒然,刘朝晖,周咪咪,徐浩文,王元楷.."城市众脑":理论模式及关键议题[J].城市规划学刊,2023,(6):20-26,7.基金项目
"十四五"国家重点研发计划课题"城市可持续规划建设多模态情景智能仿真信息平台研究"(2022YFC3800205) （2022YFC3800205）
