基于前景理论的CGF Agent决策建模研究

Research of CGF Agent Decision-making Modeling Based on Prospect Theory

前景理论(Prospect Theory,PT)描述了个体在不确定条件下的决策规律,较好地刻画了决策者的风险偏好。分析表明,PT在作战决策建模中具有一定的适用性和可行性。提出了一种基于PT的计算机生成兵力(Computer Generated Forces,CGF)Agent决策建模方法,给出了CGF Agent的建模框架,对CGF Agent决策过程中方案选择的具体步骤和算法进行了详细阐述。实验表明,所提出的方法在一定程度上提高了CGF Agent决策行为的真实性,证明了所提出方法的有效性。

Prospect Theory （PT） describes the rules of individual＇s decision-making under uncertainty,which can well characterize decision-makers＇ risk preference. PT has certain valuable feasibility and applicability in operational decision-making modeling. Based on PT,a method of CGF Agent decision-making modeling was proposed. The Computer Generated Forces （CGF） Agent framework was presented. The detailed description of concrete process and algorithm for course of action （COA） selection in Agent decision-making was also given. The experiment shows that the proposed method has good performance and can improve the authenticity of CGF Agent＇s decision-making behavior.