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

页码：247 / 249

页数：3

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