Research On Relevant Technologies Of Computer Generated Forces Modeling And Its Application In Command And Control Modeling

As an important research direction for advanced distributed simulation, CGF behavior modeling is characterized as an intersection of multidisciplinary and holds great promising for the military simulation technology. Our research work in this dissertation focuses on CGF behavior modeling, relative technologies to CGF modeling and command and control modeling, with emphasis on Agent-based behavior modeling method and the application of Multi-Agent system theory in the command and control modeling. In the end, the application of neural network technology and C2 modeling into military simulation systems are introduced.The research of CGF behavior modeling methods is first considered. Upon the introduction of traditional behavior modeling method, its disadvantage is analyzed, and then new methods based on soft computing are presented, with the description of their work principle and adapted environment. According to the cognitive process, the integrative framework of behavior modeling is proposed, as well as the analysis of its components and their relationships. Two specific CGF behavior modeling, finite state machine based method and agent-based method are discussed in this dissertation, their characteristics, implementation mechanism and relative algorithms are also introduced.There are many technologies relative to CGF behavior modeling. Environment modeling and multi-resolution modeling are two among them. The author first discusses the environment modeling, and proposes SEDRIS-based terrain modeling process. Then, another technology, multi-resolution modeling is proposed. Based on its fundamental theory, some concepts are introduced, and then the consistency problem of Multi-resolution modeling is discussed, with emphasis on the position-based consistency resolving algorithm. There are three methods for implementing the multi-resolution modeling, including aggregation-disaggregation, select-view and multi-resolution entity, among them the descriptive model and consistency maintaining method of multi-resolution entity are analyzed in detail. After compared with the other two methods, the advantage of multi-resolution entity method is given.Command and control modeling is an important application area in CGF behavior modeling. According to its common characteristics and requirements for behavior modeling, the multi-agent system theory based teamwork model for command and control modeling is proposed, which is built upon the joint-intention theory and shared-plan theory. Its implementation mechanism is analyzed in detail, and the specific implementation algorithm is also given. As a result of the research of behavior modeling and command and control modeling, the author presents the framework of the command and control modeling, which is C2MF. And discusses its behavior description method, communication mechanism modeling and hierarchical representation based planning model.Finally, two specific simulation systems are discussed, which incorporate CGF behaviormodeling and command and control modeling. At first, the author introduces the application of discrete Hopfield neural network model in the fire-allocation problem, and gives the implementation algorithm and simulation results. Then based on the framework of command and control modeling: C2MF, a thorough analysis on command and control modeling of the "Infantry Division Landing Island Joint Warfare Simulation System" is made.