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
收藏
页码：395 / 396
页数：2
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