A Goal Oriented Action Planning and Replanning method of Computer Generated Forces in Wargame

Abstract

This paper proposes a goal oriented action planning method that plans the behaviors of computer generated forces and a replanning method that replans new actions when the situations are changed in war game. This new method provides good expression because it is flexible and can do more realized description unlike the conventional finite state machines. As a result, proposed method has an advantage that it can describe the behaviors of computer generated forces as those of real soldier. However, since it is not deterministic it has some difficulties in analysing the decision processing of behaviors and making the computer generated forces do some specific actions. We employed combat plane models of air forces in order to verify the feasibility of our method. Finally, we could find that our method produced very similar behaviors to those of a real soldier. This paper describes our planning method, experimental results, and future works.

A Study on Reinforcement Learning Method for the Deception Behavior : Focusing on Marine Corps Amphibious Demonstrations

“…CGF 자동화 모의를 다룬 연구로 Cho, et. al [9] 은 국 방 M&S의 CGF 행위 모델링 방법론들에 대해 논의하 고, 이어서 이러한 방법론을 다양한 분야별 어떻게 적 용할 수 있는지에 고찰하여 향후 자동화 모의 기술 개발 및 사업을 추진하는 군에게 가이드 라인을 제시 하였으며, Jung [11] 은 CGF의 목표를 우선적으로 탐색 하는 목표지향행위계획과 우발상황 시 새로운 계획을 시행하는 재계획 방법에 대하여 제안했으며, 공군 전 투비행기 모델에 적용하여 검증하였다. 또한 Lee, et.…”