社会计算与计算社会：智慧社会的基础与必然  

Social computing and computational societies: The foundation and consequence of smart societies

作　　者：王飞跃[1,2] 王晓[1,3] 袁勇[1,3,4] 王涛[2,5] 林懿伦 

机构地区：[1]中国科学院自动化研究所、复杂系统管理与控制国家重点实验室,北京100190 [2]国防科技大学军事计算与平行系统技术研究中心,长沙410073 [3]青岛智能产业技术研究院,青岛266109 [4]北京市智能化技术与系统工程技术研究中心,北京100080 [5]国防科技大学信息系统工程重点实验室,长沙410073 [6]中国科学院云计算产业技术创新与育成中心自动化所东莞研究院,东莞523000

出　　处：《科学通报》2015年第5期460-469,共10页Chinese Science Bulletin

基　　金：国家自然科学基金(71232006,61233001,71102117,71472174)资助

摘　　要：基于社会计算,智慧社会可充分利用开放流动的大数据资源,综合协调人、地、事、物和组织等各种要素,形成信息对称、权利对等、扁平化组织的社会结构,推动传统社会管理模式向分布式、集约化、信息化、智能化、全响应的创新社会管理模式的转变.为此,必须同时以海量社会传感器网络为基础,以高性能分布式计算为支撑,以知识自动化技术为核心,以虚实互动的平行系统为手段,推动对社会的全面感知、建模、解析、决策及反馈执行,进而实现集舆情感知、平行管理和移动指挥与控制为一体的闭环反馈组态式的社会管理,全面提升其功能与服务水平.Social computing, as the technical foundation of future computational smart societies, has potential to improve the effectiveness of using dynamic and open-source big data, systematically integrate various factors including people, positions, events, objects and organizations, and establish a novel social structure with symmetric information, equal rights and a flat configuration. As such, social computing can facilitate the evolution of social administration from traditional paradigms to an intensive, informational, intelligent and innovative model with real-time and complete responses. To this end, we should take full advantage of such key technologies as social sensor networks, knowledge automation, high-performance distributed computing, and cyber/artificial-physical-coupled parallel systems to enhance overall capabilities in perception, modeling, analysis, decision-making and implementation, and thus improve societal functions and services. The ultimate goal is to create a novel and configurable social management mode with closed-loop feedback from public opinion, parallel management, and mobile command and control.

关 键 词：智慧社会 ACP 社会计算 知识自动化 闭环反馈组态式管理 

分 类 号：TP399-C2[自动化与计算机技术—计算机应用技术]