Along with the rapid development of information technology, human beings have moved from the information technology era to the data technology era, and gradually entered the ternary world of “human-machine-object” integration. In particular, with the integration of data-driven agents into the physical scene, the interaction of information acquisition, transmission and processing constitutes a complex multidimensional system that deeply integrates communication, control and optimization—networked systems. The core of this type of system is that the networked system composed of many agents can efficiently accomplish certain global goals through mutual collaboration, while making decisions according to different preferences, thus solving large-scale complex problems that are difficult for individual agents to handle, with strong anti-interference and environmental adaptability. In addition, the network structure of such systems requires participating agents to access only their own local information.

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Introduction

  • Huaqing Li,
  • Qingguo Lü,
  • Dawen Xia,
  • Xin Wang,
  • Zheng Wang,
  • Lifeng Zheng,
  • Jun Li,
  • Liang Ran

摘要

Along with the rapid development of information technology, human beings have moved from the information technology era to the data technology era, and gradually entered the ternary world of “human-machine-object” integration. In particular, with the integration of data-driven agents into the physical scene, the interaction of information acquisition, transmission and processing constitutes a complex multidimensional system that deeply integrates communication, control and optimization—networked systems. The core of this type of system is that the networked system composed of many agents can efficiently accomplish certain global goals through mutual collaboration, while making decisions according to different preferences, thus solving large-scale complex problems that are difficult for individual agents to handle, with strong anti-interference and environmental adaptability. In addition, the network structure of such systems requires participating agents to access only their own local information.