Journal of System Simulation
Abstract
Abstract: In view of the difficulties that the joint operation simulation experiment methods are mainly for guiding equipment evaluation and demonstration, which is difficult to effectively support the research of operation problems, a joint operation simulation experiment method based on human-machine hybrid intelligence is proposed. The classification, generation and accumulation process of the knowledge in joint operation simulation experiment are clarified. Through the detailed descriptions of experimental interaction process, experimental operation process, experimental driving mode, simulation operation mode, supporting system structure, etc., a joint operation simulation experiment framework based on man-machine hybrid intelligence is constructed. It provides a new method for analyzing operation capability, innovating operation plan and developing operation concept based on simulation experiment.
Recommended Citation
Jun, Ma; Yang, Jingyu; and Xi, Wu
(2021)
"Research on Experimental Method of Joint Operation Simulation Based on Human-machine Hybrid Intelligence,"
Journal of System Simulation: Vol. 33:
Iss.
10, Article 5.
DOI: 10.16182/j.issn1004731x.joss.20-0592
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss10/5
First Page
2323
Revised Date
2020-09-25
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0592
Last Page
2334
CLC
E917;TP391.9
Recommended Citation
Ma Jun, Yang Jingyu, Wu Xi. Research on Experimental Method of Joint Operation Simulation Based on Human-machine Hybrid Intelligence[J]. Journal of System Simulation, 2021, 33(10): 2323-2334.
DOI
10.16182/j.issn1004731x.joss.20-0592
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons