Demo: A Multi-agent Communication Framework in Cooperative Detection System

被引：0
|
作者：
Gao, Hongye [1 ]
Shi, Yichen [1 ]
Rao, Weixiong [1 ]
Ma, Qiongmin [2 ]
机构：
[1] Tongji Univ, Sch Software Engn, Shanghai, Peoples R China
[2] Natl Key Lab Complex Syst Simulat, Beijing, Peoples R China
来源：
2023 IEEE/ACM SYMPOSIUM ON EDGE COMPUTING, SEC 2023 | 2023年
关键词：
D O I：
10.1145/3583740.3626626
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Communication is an effective mechanism to coordinate the behavior of mobile multi-agents. We propose a general multi-agent communication framework. With help of graph neural networks and reinforcement learning, this framework can provide a cooperative detection method with more powerful capabilities. In this paper, we demonstrate the configurable co-detection simulation system. Moreover, the evaluation of the multi-agent communication framework validates that the agents can effectively cooperate with each other through decentralized communication, and effectively reduce computation overhead meanwhile with high scalability.
引用
收藏
页码：247 / 249
页数：3
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