智能社会协同治理:研究现状与发展趋势 |
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引用本文: | 吕鹏,毕斯鹏,管正青,成海波. 智能社会协同治理:研究现状与发展趋势[J]. 华南师范大学学报(自然科学版), 2023, 55(1): 19-35. DOI: 10.6054/j.jscnun.2023002 |
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作者姓名: | 吕鹏 毕斯鹏 管正青 成海波 |
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作者单位: | 1.中南大学公共管理学院, 长沙 410075 |
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基金项目: | 国家社会科学基金项目18VXK005国家社会科学基金项目19ZDA143 |
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摘 要: | 智能社会是以人机物的高度耦合为核心特征,以智能社会协同治理为核心治理模式,形成现代人到智能体的主体性转变,全面拓展人类的生物、时间和空间等存在属性的社会形态。智能社会协同治理是智能社会智能体充分调动各类智慧、技术、资源而形成的有机整合的治理模式,以解决智能社会的个体成员、运行规律、社会机构、治理模式、政策制定和伦理规范等一系列重大问题。国内外学者综合运用模型驱动和数据驱动的方法对智能社会进行建模,从协同治理主流理论、智能社会拓扑和协同决策优化等角度研究智能环境下的协同治理技术,发展了一系列智能社会协同治理的机理与模型。近些年来,物联网、人工智能和大数据等技术的发展进一步拓宽了智能社会协同治理的范畴,呈现出广阔的应用前景,但同时也对智能社会协同治理的模型与应用提出了新的挑战。文章从人类发展历史与核心社会特征演化趋势、数字社会向智能社会过渡阶段研究,协同计算的主要模型、方法以及协同计算在智能社会行为体“人机物”互动中的应用3个方面,对国内外的相关研究现状和进展进行综述和对比分析,凝练存在的关键科学与技术问题,分析各研究分支的特色和可能存在的互补性,最终给出该方向未来的潜在发展与研究方向。
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关 键 词: | 智能社会 协同治理 人工智能 社会计算 协同计算 |
收稿时间: | 2022-11-08 |
Cooperative Governance of Intelligent Society: Research Status and Development Trend |
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Affiliation: | 1.School of Public Administration, Central South University, Changsha 410075, China2.Pku-Wuhan Institute for Artificial Intelligence, Wuhan 430075, China3.Research Center for Intelligent Society and Governance, Zhejiang Lab, Hangzhou 311121, China4.School of Computer Science, Fudan University, Shanghai 200433, China |
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Abstract: | The intelligent society is characterized by the high coupling of man and thing, and the cooperative go-vernance of intelligent society is the core governance mode. It forms the subjective transformation from modern man to intelligent body, and comprehensively expands the social form of human existence attributes such as time, space, biology and society. Collaborative governance of intelligent society is the core governance mode of intelligent society. It is an organic integrated governance mode formed by intelligent society agents fully mobilizing all kinds of wisdom, technology and resources to solve the major problems of intelligent society, such as individual members, operation rules, social institutions, governance mode, policy making, ethical norms and so on. Scholars use a combination of model-driven and data-driven methods to model the intelligent society. The collaborative governance technology under intelligent environment is studied from the mainstream theory of collaborative governance, intelligent society topology, collaborative decision optimization and so on. A series of mechanisms and models of cooperative governance in intelligent society are developed. In recent years, the development of the Internet of Things, artificial intelligence and other technologies has further broadened the theoretical scope of collaborative governance of intelligent society, showing broad application prospects, but at the same time, it also poses new challenges to the model and application of collaborative governance of intelligent society. In this paper, the relevant research status and progress at home and abroad are reviewed and compared from three aspects: the history of human development with the core characteristics of social evolution trend, digital society to intelligent social transition stage; the main model and co-llaborative computing method; collaborative computing in intelligent social actors "human-computer interaction". Condense the key scientific and technological problems existing. The characteristics and possible complementarity of each research branch are analyzed, and the potential future research direction of this direction is finally given. |
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