행위자 기반 모델을 활용한 드론의 지능적 행동에 따른 전투 영향 분석: 군집전술을 중심으로

In this study, we focused on cluster tactics in conducting simulation analyses to investigate the impact of intelligent drone behavior on combat. To analyze combat effectiveness, Mission Success Rate, Drone Survival Rate, and Distance Moved were chosen as Measures of Effectiveness (MOE), and three experiments were conducted. The first experiment aimed to determine which cluster method was more effective when the enemy was not clustered. The second experiment sought to ascertain which cluster method was more effective when the enemy was clustered. The third experiment investigated the combat effectiveness of a hybrid cluster named "Hybrid Swarm," where multiple cluster methods were employed within one team to perform combat operations. The experimental results showed that emergent clustering methods were most effective when the enemy was not clustered, hierarchical clustering methods were most effective when the enemy was clustered, and it was confirmed that the Hybrid Swarm method had combat effectiveness.