Safety Modeling Method of Human-Machine System Based-on JACK and Situation Awareness
LI Yin1， GUO Jianbin2， ZHANG Shaowei1， WANG Kunyun1， CI Huipeng1
1. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China；
2. School of Reliability and Systems Engineering， Beihang University， Beijing 100191， China
Abstract：In order to reduce the safety risks caused by the difference in situation awareness in the interaction process between human and artificial intelligence agents, this paper has carried out research on human-machine system safety modeling method based on multi-agent and situation awareness. Firstly, the three-level model of situation awareness of artificial intelligence agents is constructed based on situation awareness. Based on this, the situation awareness error mode and the evolution process of situation awareness accidents are analyzed. Secondly, a human-machine system safety modeling method based on multi-agent and situation awareness is proposed. Finally, the effectiveness of the proposed method is verified by taking automatic driving as an example. The simulation results are consistent with the objective facts, which proves that the proposed safety modeling method is reasonable and effective.
Keywords: artificial intelligence； safety of human-machine system； human-machine interaction； multi-agent； situation awareness； accident evolution
李胤, 郭健彬, 张绍伟, 王坤云, 慈慧鹏. 基于多主体和情景意识的人机系统安全性建模方法[J]. 空天防御, 2023, 6(1): 29-37.
LI Yin, GUO Jianbin, ZHANG Shaowei, WANG Kunyun, CI Huipeng. Safety Modeling Method of Human-Machine System Based-on JACK and Situation Awareness. Air & Space Defense, 2023, 6(1): 29-37.
