敌对群体行为动画的攻击模型建立

Attack Models for Behavior Animation of Opposite Flocks

研究了敌对群体的行为动画,讨论了行动选择层的策略问题。以对现实世界中动物的行为分析为依据,建立了合理的敌对群体行为的通用攻击模型。在一对多攻击模型中,提出了确立最优攻击目标的策略,在量化方式中考虑了当前距离和极限速率两个因素,讨论了捕猎双方的策略及其在数字世界的实现。在多对多攻击模型中,率先将合群攻击的概念引入群体动画。仿真结果表明,模型能够表现出自主个体的人工智能性并真实地再现敌对群体间的攻击行为。

The behavior animation of opposite flocks is studied, and tactics of action-selection level is discussed. Based on the analysis of animals＇ behavior in the real world, reasonable universal attack models are established. In the model （ 1： n）, the tactics of setting up conception of the best attack target is proclaimed. Both current distance and utmost velocity have been considered in the quantitative equation. Tactics of two sides and their realization in the digital world are also discussed. In the model （m： n）, the conception of swarm attack is introduced into this field for the first time. The results of simulations show these models can take on artificial intelligence of autonomous characters and real attack behavior of opposite flocks.