基于概率区间的不确定性动作建模研究  

Research on Modeling Action with Uncertain Results Based on Probability Interval

作　　者：田尊华[1] 赵龙[1] 贾焰[1] 

机构地区：[1]国防科学技术大学计算机学院,长沙410073

出　　处：《计算机科学》2010年第1期201-203,207,共4页Computer Science

基　　金：863国家高技术发展计划(2006AAJ210)资助

摘　　要：对不确定性动作建模有助于提高虚拟角色行为表现的逼真度和可信度。现有行为模型由于动作缺少必要的不确定性而显得重复、单调,为此,提出了利用概率区间对角色不确定性动作建模的方法。基于区间代数提出了概率区间的概念,并指出了概率区间的完备性问题,着重研究了正态概率区间的数学运算及其完备化的加性和乘性方法。与代数区间相比,概率区间能够更加精确地描述动作的不确定性效应。以坦克虚拟角色为例,研究了正态区间在不确定性动作建模中的应用,通过对射击动作的不确定性建模验证了所提方法的合理性和有效性。To model the uncertain actions of virtual characters is helpful to improve the fidelity and credibility of its behavioral representation. Because the existing behavioral models are lack of necessary uncertainty, the characters often behave in a repeated and monotonous way. With probability interval, a method to model uncertain results of characters＇ action was proposed. Based on interval algebra, the concepts of probability interval and its completion were defined. Completion methods of probability interval were given, centering on normal probability interval, some operations were defined, and additional and multiplicative compensation methods to complete normal probability interval were discussed. Compared with algebra interval, probability interval can describe effects of actions more precisely. As an example, the uncertain actions of virtual tanks were discussed and normal interval was applied to model the uncertain actions of it. The proposed methods were validated through modeling the uncertain actions such as shooting.

关 键 词：不确定性动作 概率区间 虚拟现实 行为建模 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]