Multi-Agent based Collaborative Agent Architecture for Battlefield Situation Awareness

被引：0

作者：

Lee, Changeun ^{[1
]}

Baek, Jaeuk ^{[1
]}

Do, Seungwon ^{[1
]}

Jun, Sungwoo ^{[1
]}

Ha, Young-guk ^{[2
]}

机构：

[1] Elect & Telecommun Res Inst ETRI, Daejeon, South Korea

[2] Konkuk Univ, Seoul, South Korea

来源：

2024 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING, IEEE BIGCOMP 2024 | 2024年

关键词：

multi agent; collaborative agent; battlefield situation awareness;

D O I：

10.1109/BigComp60711.2024.00086

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The proposed architecture consists of real-time battlefield recognition technology that supports decision-making by fusing individually processed multimodal knowledge information from collaborative neuro-agent. We design an architecture and generate dataset for training the core network. It provides collaborative intelligence-based real-time battlefield situation recognition technologies, which is expected to be applicable to actual battlefield environments or combat training simulator. Simulation results are provided to demonstrate the performance of a multi-agent based collaborative agent architecture for battlefield situation awareness.

引用

页码：395 / 396

页数：2

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