Cyber-Physical-Social Systems: The State of the Art and Perspectives

This paper is to discuss the state, trend, and frontiers of development of cyber-physical-social systems (CPSSs) in China. The demand for developing CPSS is discussed in detail, followed by the Artificial societies, Computational experiments, Parallel execution (ACP) approach for CPSS and knowledge automation. The development of ACP based on CPSS in transportation, energy, information, Internet of Things, and Internet of Minds (IoM) is discussed to demonstrate the cutting-edge applications in CPSS. Finally, the blockchainized IoM technology and the concepts of parallel society are described. This paper will contribute to the transition from the current social construct to a futuristic intelligent society.

[1]  Albert Y. Zomaya,et al.  Guest Editorial on Advances in Tools and Techniques for Enabling Cyber-Physical-Social Systems - Part I , 2015, IEEE Trans. Comput. Soc. Syst..

[2]  Dai Ruwei,et al.  A new discipline of science — The study of open complex giant system and its methodology , 1993 .

[3]  Laurence T. Yang,et al.  A Cloud-Edge Computing Framework for Cyber-Physical-Social Services , 2017, IEEE Communications Magazine.

[4]  Xingshe Zhou,et al.  A Data-Centric Framework for Cyber-Physical-Social Systems , 2015, IT Prof..

[5]  Shuangshuang Han,et al.  Parallel vehicles based on the ACP theory: Safe trips via self-driving , 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

[6]  Fei-Yue Wang.  Computational Social Systems in a New Period: A Fast Transition Into the Third Axial Age , 2017, IEEE Trans. Comput. Soc. Syst..

[7]  Fei-Yue Wang,et al.  Competitive Analysis of Bidding Behavior on Sponsored Search Advertising Markets , 2017, IEEE Transactions on Computational Social Systems.

[8]  Fei-Yue Wang,et al.  Toward a Paradigm Shift in Social Computing: The ACP Approach , 2007, IEEE Intell. Syst..

[9]  Fei-Yue Wang,et al.  Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications , 2010, IEEE Transactions on Intelligent Transportation Systems.

[10]  Wenji Mao,et al.  Cyber-Physical-Social Systems for Command and Control , 2011, IEEE Intelligent Systems.

[11]  Hui Wang,et al.  Web-Based Traffic Sentiment Analysis: Methods and Applications , 2014, IEEE Transactions on Intelligent Transportation Systems.

[12]  Xinghuo Yu,et al.  Beyond Smart Grid - Cyber-Physical-Social System in Energy Future , 2017, Proc. IEEE.

[13]  Fei-Yue Wang,et al.  An efficient realization of deep learning for traffic data imputation , 2016 .

[14]  Liuqing Yang,et al.  Big Data for Social Transportation , 2016, IEEE Transactions on Intelligent Transportation Systems.

[15]  Tao Wang,et al.  Crowdsourcing in ITS: The State of the Work and the Networking , 2016, IEEE Transactions on Intelligent Transportation Systems.

[16]  Li Li,et al.  Steps toward Parallel Intelligence , 2016 .

[17]  Fei-Yue Wang,et al.  The Emergence of Intelligent Enterprises: From CPS to CPSS , 2010, IEEE Intelligent Systems.

[18]  Albert Y. Zomaya,et al.  Guest Editorial on Advances in Tools and Techniques for Enabling Cyber-Physical-Social Systems - Part II , 2015, IEEE Trans. Comput. Soc. Syst..

[19]  Shuangshuang Han,et al.  From Software-Defined Vehicles to Self-Driving Vehicles: A Report on CPSS-Based Parallel Driving , 2019, IEEE Intelligent Transportation Systems Magazine.

[20]  Kaoru Ota,et al.  Secure Data Deduplication With Reliable Key Management for Dynamic Updates in CPSS , 2015, IEEE Transactions on Computational Social Systems.

[21]  Wang Feiyue,et al.  Parallel system methods for management and control of complex systems , 2004 .

[22]  Christopher M. Bishop,et al.  A New Framework for Machine Learning , 2008, WCCI.

[23]  Jian Yang,et al.  Network softwarization and parallel networks: beyond software-defined networks , 2016, IEEE Network.

[24]  Shuangshuang Han,et al.  Parallel networks and network softwarization: a novel network architecture , 2017 .

[25]  Liuqing Yang,et al.  Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond , 2016, IEEE/CAA Journal of Automatica Sinica.

[26]  Fenghua Zhu,et al.  Cyber-physical-social system in intelligent transportation , 2015, IEEE/CAA Journal of Automatica Sinica.

[27]  Fei-Yue Wang,et al.  Toward a Revolution in Transportation Operations: AI for Complex Systems , 2008, IEEE Intelligent Systems.

[28]  K. Werbach,et al.  For the Win: How Game Thinking Can Revolutionize Your Business , 2012 .

[29]  Matthew Zook.  Crowd-sourcing the smart city: Using big geosocial media metrics in urban governance , 2017, Big Data Soc..

[30]  Wenji Mao,et al.  Social Computing: From Social Informatics to Social Intelligence , 2007, IEEE Intell. Syst..

[31]  Fei-Yue Wang,et al.  Traffic Flow Prediction With Big Data: A Deep Learning Approach , 2015, IEEE Transactions on Intelligent Transportation Systems.

[32]  Sudip Misra,et al.  Multivariate Data Fusion-Based Learning of Video Content and Service Distribution for Cyber Physical Social Systems , 2016, IEEE Transactions on Computational Social Systems.

[33]  Li Li,et al.  The Integration of CPS, CPSS, and ITS: A Focus on Data , 2015 .

[34]  Fei-Yue Wang.  Computational Dissemination: Toward Precision and Smart Impacts for Computational Social Systems , 2017, IEEE Trans. Comput. Soc. Syst..