Study on agent model of computer generated forces
Shaobin Sun, Kuanquan Wang, Renyou Zhang, Xuehua Lin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
The purpose of this paper is to develop a composite agent model for computer generated forces. Based on the analysis and modeling on real force operation, a hierarchically structured CGF agent model was proposed. The model clearly draws the separation between the knowledge base and the functional part, while preserving the hierarchical structure of the model. The hierarchically structured levels of knowledge were not only constructed using the concepts of the lower levels, but they were also used to trigger activities at lower levels.The multi-stages control unit combines patterns of behavior with explicit planning facilities. Patterns of behavior allow CGF to react quickly and flexibly to changes in its environment.They are also building block of CGF plan. The model are able to plan activities and execute them within a framework designed to support devolved planning and execution of high level tasks in a manner similar to that found in military command structures.