Jiang Taibi

Abstract：With the advent of the era of the Internet of Everything （or IoE）， human resource allocation will be replaced by various “Algorithms” of artificial intelligence. The data generated by the IoE will become an important form of social resources， and also an important basis to support the “Algorithms” of artificial intelligence. The security， ownership， development and utilization efficiency， confidentiality and other important issues of data resources will become?a new focus in the research of ethnology， economics， sociology， psychology and other related disciplines. China is a multi?ethnic country with abundant resources in the aspects of nature， history， linguistics， culture， religion， social customs， biological and genetic information， etc. How to transform the rich ethnic diversity resources into the data that support the collaborative optimization and allocation of artificial intelligence “algorithms” in the era of IoE requires in?depth theoretical and empirical research from related disciplines， such as ethno?history， culture， biology and information processing technology. Facing the future era of IoE， in which a huge flow of data will be created， the information needed for resource allocation will be huge and?complex. The degree of information richness might be almost close to the complete information required for rational resource allocation. At that time， according to current methods of analysis， the average human brain will no longer be competent to calculate the equilibrium solution of reasonable and effective allocation of resources. Therefore， the behaviors and decisions concerning the resource allocation of human beings will be arranged by artificial intelligence organized by various “algorithms”. In general， ?economists will no longer directly study the strategy sets of optimal allocation of resources， but will study instead construction principles， construction conditions and influencing factors of artificial intelligence “algorithms” in resource allocation from theoretical and empirical perspectives. With the advent of the IoE era， the digital economy and the substantive economy will be deeply integrated. Cloud computing， big data and artificial intelligence will build a new infrastructure for the entire economy and society. At that time， no matter whether the main businesses belong to platform?type Internet enterprises or belong to enterprises in the Internet operating various specific industries， they will have to rely on the data generated by the IoE for their survival. As a result， both the way and mechanisms of the social resources allocation will also be completely changed. On the one hand， the mode of resource allocation will be transformed from a vertical configuration to a network cooperative configuration; on the other hand， resource allocation mechanisms will be transformed from price allocation mechanisms to network collaborative and dynamic optimization allocation mechanisms.

Once human society enters the era of IoE， the data generated by IoE will become an important resource for social and economic development， and also an important link for the construction of social order. The industrial organization and behavior selections of human society will be based on processing and managing big data via artificial intelligence “algorithms”. To some extent， the construction of the forms of human social organization will also depend on artificial intelligence “algorithms”. ?The government should play a guiding role in facing these important changes in the future allocation of resources. Firstly， the government should construct and improve related laws and regulations to ensure the data security of IoE. Secondly， the government should grasp the direction of the evolutionary path of artificial intelligence technology in the society of IoE， restrict the research and development of artificial intelligence technology that is destructive to human social order， encourage and support the innovation of artificial intelligence technology that is conducive to improving human social welfare and building a harmonious human social order.

Key Words：IoE; artificial intelligence; algorithm; resource allocation reform

References：

He Da?an.hulianwang yingyong kuozhang yu weiguan jingjixue jichu（The Expansion of Internet Application and Fundamentals of Microeconomics）. In Economic Research Journal， 2018（8）：177-191.

Jiang Xiaojuan.gaodu liantong shehui zhong de ziyuan chongzu yu fuwu zengzhang（Resource Regrouping and Service growth in Highly Connected Society）.In Economic Research Journal，2017（3）：4-17.

Kevin Kelly. ?biran （The Inevitable： Understanding the 12 Technological Forces That Will Shape Our Future），Zhou Feng Transl.Beijing：dianzi gongye chubanshe，2016.

Yan Pengfei.xifang jingjixue yanjiu dagang（Outline of Western Economics Research）. In Economic Perspectives，1996（9）：53-57.

Ye Han. renshi lixing，zili de ma ？ Xingwei jingjixue dui zhuliu jingjixue de tiaozhan（Are People Rational and Self?interested？Behavioral Economics Challenges Mainstream Economics ）. In Southern Weekend，2018-10-18.

Yuval Noah Haravi. jinri jianshi（21 Lessons fro the 21st Century）.Beijing：zhongxin chuban jituan，2018.

Yuval Noah Haravi. weilai jianshi： cong zhiren dao zhisheng（Homo Deus：A Brief History of Tomorrow）. Beijing：zhongxin chuban jituan，2017.

Yuval Noah Haravi. renlei jianshi：cong dongwu dao shangdi （Sapiens：A Brief History of Humankind）. Lin Junhong transl. Beijing：zhongxin chuban jituan，2017.

Zhang Yonglin.wangluo，xinxichi yu shijian fuzhi—wangluo fuzhi jingji moxing（Network， Information Pool and Time Replication： Economic Model of Network Replication）.In Economic Research Journal，2014（2）：171-182.

Zhang Yonglin.hulianwan，xinxiyuan yu pingmuhua shichang—xiandai wangluo jingji lilun moxin he yingyong（Internet， Information Element and Screen Market： Theoretical Model and Application of Modern Network Economy）.In Economic Research Journal，2016（9）：147-161