에이전트 기반 지휘통제 모의방법론

Abstract

Conflicts have been occurred all around the world and are being continued or prepared for the war. It is known that the heart of war execution capability is command and control. Some combat simulations were used partially in planning the operations, analysis of combat power, and computer aided training with the US Forces in Korea since the 1970s. During the 1980s, the highly advanced war game model had been introduced and continued to extend rapidly up to present. This paper considers a comparative study of the present defense modeling ＆ simulation in Korea, US, and Europe. The study also exhibits both logic and methodology of the command and control procedure in modeling a combat situation. In particular, it presents both structure and architecture of the intelligent agent which substitutes for troop leading procedure, military decision making process. The methodology is necessary for the Korean military to be prepared for modern and future warfare since most of the war game simulations are not centered command and control but engagement. The US war game models applied in Korea considered the Lanchester equations which simply depend on the firepower values and scores. The results have been ineffectively used in the command and control system or in the area of information monitoring system. An analytical war game model should be able to produce the results and analyze them in a given short period time. In other words, a tremendous amount of effort is required when the computer does not do automated internal application. The Korean Army uses the troop leading process for the effective command and control. Accordingly, this study tried to model a troop leading process and develop a logical way in order to upgrade the command and control system with intelligent agent. The entire troop leading process as military decision making process was analyzed from the viewpoint of command and control agent application and logics and algorithm of the command and control was shown in detail. The study also investigated the experimental program from a representative planning agent, and then an action agent is executed for simulation. Finally, the results are analyzed. The troop leading process involves finding the optimal alternative plan to the commander and staffs in order to accomplish their roles. Both modeling the troop leading process and developing the logic which can be used for simulation would become a foundation for the future advanced war game models. The current C4I system focuses situation awareness and massage send in current. Since it is not so easy to find suitable functions of simulation for command and control in current war game models, the proposed intelligent agent based modeling ＆ simulation may help in making a decision at the battlefield as a military decision support system.