Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (1): 69-82.doi: 10.11959/j.issn.2096-6652.202254

• Papers and Reports • Previous Articles     Next Articles

Parallel reasoning: a virtual-real interactive knowledge collaboration framework based on ACP approach

Xiao WANG1,2,3, Linyao YANG2,4, Bin HU2,3, Jiachen HOU5   

  1. 1 School of Artificial Intelligence, Anhui University, Hefei 230601, China
    2 The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    3 Qingdao Academy of Intelligent Industries, Qingdao 256200, China
    4 Research Center for Graph Computing, Zhejiang Lab, Hangzhou 311100, China
    5 Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China
  • Revised:2022-10-13 Online:2023-03-15 Published:2023-03-01
  • Supported by:
    The National Key Research and Development Program of China(2018AAA0101502);The Science and Technology Project of State Grid Corporation of China: Fundamental Theory of Human-in-the-loop Hybrid- augmented Intelligence for Power Grid Dispatch and Control


Knowledge graph represents empirical knowledge based on structured triples, which can effectively describe the semantic relationships between real-world entities.Knowledge graph has become a critical standard technology of the new generation of artificial intelligence.The development, typical applications of multi-source knowledge graphs, and problems of knowledge collaboration were summarized.A multi-source knowledge graph collaboration framework based on ACP approach, i.e., parallel reasoning, was proposed, which realized the extraction, fusion, completion, and unbiased application of multi-source heterogeneous knowledge based on artificial systems, computational experiments, and parallel execution.In the end, simulation experiments were conducted on power grid dispatching to evaluate the effectiveness of parallel learning for solving the management and control problems of complex systems.

Key words: parallel system, knowledge graph, knowledge reasoning, knowledge collaboration, virtual real interaction

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