Research On CGF Perceptual Attention Model In Virtual Battlefield Environment

With the wide application of computer generated force(CGF)in combat simulation system,the behavior modeling of CGF plays an increasingly important role in exercitation and analysis of combat simulation.As the important part of CGF behavior modeling,the modeling of percept directly affect the real feeling of simulation system and the authenticity of simulation result.Traditional perceptual modeling lack the modeling of attention mechanism,which result in CGF’s percept cannot reflect the change of attention in real battlefield,and cannot meet the need of CGF’s behavior modeling being authentic and intelligent.However,there are not a universal attention model.The existing attention models are specialized,and cannot directly used for CGF.As a result,the study of CGF attentional percept model is significant to improve CGF’s intelligence and the simulation system’s authenticity.At the beginning,we discussed this research’s application background and its usage.By studying the state-of-art,we analyzed the disadvantages that existing methods commonly have.Then,according to the specific application of the scene targeted,we presented the main content of the study,and summarizes the main innovation.The first major problem in this study is the attention-based selection mechanism of CGF.How to choose the focus according to current sensing information is vital.We proposed the whole framework of CGF’s attentional perception model,and then analyzed the background and relative merits of existing applications.Then,we choose to modify the SEEV model to fit attention model of CGF under the virtual battlefield environment.The second major problem in this paper is that the CGF sensing range adapts itself to the dynamic changes of the environment.Here we first establish a simple memory model for CGF,and then realize the feedback mechanism of CGF by attention entropy.Traditional attention entropy method is difficult to give an accurate attention probability value.In this paper,the improved SEEV model is used to calculate the attention probability value.Then,the feedback model of perceptual capability is designed,and the CGF feedback mechanism based on attention entropy theory is proposed.So as to realize the feedback mechanism of historical cognition to current perceptual attention.Afterwards,we designed the simulation experiment to verify that under the same conditions,the model designed in this study is effective,and more in line with people’s real attention.At the end of the paper,the research work is summarized,and the future research direction is forecasted.