Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Research on Collaborative Agent Learning Mechanism of Virtual Medical System Based on Agent

Download175 downloads
  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334290,
        author={Min  Peng and Xinwen  Chen and Haifeng  Xu},
        title={Research on Collaborative Agent Learning Mechanism of Virtual Medical System Based on Agent},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={virtual medical system; multi-cooperative agent model; learning mechanism},
        doi={10.4108/eai.19-5-2023.2334290}
    }
    
  • Min Peng
    Xinwen Chen
    Haifeng Xu
    Year: 2023
    Research on Collaborative Agent Learning Mechanism of Virtual Medical System Based on Agent
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334290
Min Peng1, Xinwen Chen1, Haifeng Xu1,*
  • 1: Guangzhou College of Commerce
*Contact email: 99199691@qq.com

Abstract

【Objective】The purpose of this study is to explore the collaborative agent learning mechanism of virtual medical system based on Agent, in order to improve the efficiency and quality of medical system. 【Methods】Agent technology was used to split the virtual medical system into multiple intelligent agents to achieve the synergy of the system. In the research process, the virtual medical system is analyzed and designed firstly. Then, a collaborative subject learning mechanism is proposed to realize the autonomous learning and intelligent recommendation functions of the system. Finally, the system is evaluated and analyzed. 【Conclusion】It shows that the simulation system is efficient and easy to implement, which can improve the quality of the medical system and has a good application prospect and promotion value.