在跨学科交叉融合中深发展社会计算与社会智能

Develop Social Computing and Social Intelligence Through Cross-disciplinary Fusion

数智化的时代背景为社会计算与社会智能的发展创造了新机遇,跨学科交叉融合将是其深化发展的必然之路。文中阐述了社会计算的内涵与外延,探讨了社会计算的范式转移、社会计算与社会智能的发展,由此对数智化时代的社会计算与社会智能进行了展望,提出了构建基于新型基础建设的社会智能体系的三大支柱,包括构建大规模高时变的数据智能、融合多尺度伸缩的空间智能、形成复杂适应性的社会智能。数据智能、空间智能和社会智能呈现出层次递进关系,要求数据、计算和社会的三者交织,这也要求计算科学、数据科学、空间科学、复杂科学、社会科学等多学科多领域在理论与方法上交叉融合。随着数智化技术的快速更新及其在社会经济系统中的不断渗透,社会计算与社会智能必然会在跨学科交叉融合中寻找突破与深发展。

The era of digital intelligence offers new opportunities for the development of social computing and social intelligence.Cross-disciplinary fusion shall be a critical approach for its deep development.This paper elaborates the connotation and denotation of social computing,discusses the paradigm shift of social computing research,and the general development of social computing and social intelligence.Next,it looks forward to the social computing and social intelligence in the era of digital intelligence,and proposes three pillars for constructinga social intelligence system based on the new infrastructure.The construction of such an intelligent system is mainly composed by three components,including the construction of large-scale high-velocity data intelligence,the integration of multi-scale flexible spatial intelligence,and the formation of complex adaptive social intelligence.There is a level progression from data intelligence to social intelligence,in which data,computing and society are entangled.As such,computing science,data science,spatial science,complex science and social science are requested to interact from both theoretical and methodological perspectives.With the rapid update of digital-intelligent technologies and their penetration into the whole social-economic system,social computing and social intelligence is bound to seek breakthrough and deep development in the interdisciplinary cross-integration.