一种人工鱼群体行为动画的新方法  

New Method of Cognition-based School Behavior Animation for Artificial Fish

作　　者：班晓娟[1] 关海峰[1] 宁淑荣[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《系统仿真学报》2009年第8期2239-2242,共4页Journal of System Simulation

基　　金：基于认知的人工动物高级行为规划研究(60503024)

摘　　要：以自然鱼为原型,结合人工生命中"突现"的思想,在基于认知的人工鱼群的行为路径选择机制的基础上,提出了一种在分布式协作系统框架下,运用人工智能的模型和算法构造的计算机自主动画角色(人工鱼)的新方法,该方法通过建立分布式行为模型,结合基于agent的局部感知和pso算法,来模拟个体鱼响应环境变化、集群和维持群体结构的路径选择过程,以展现具备感知、认知、运动能力的人工鱼群的协调和决策过程,程序运行结果实现了鱼群在海底局部环境下逼真的计算机动画,证实了该模型的有效性。Taking the real fish as the antitype and the behavior path selection mechanism of the cognition-based artificial fish school as the basis, a new method using artificial intelligent model and algorithm was provided to construct computer self-control cartoon character under the distributed cooperation system frame with the emergence theory of artificial life. By building distributed behavior model the local apperceive based on agent and pso algorithm, the path selection course of single fish is simulated in response to environmental changes, congregating, and keeping the structure of the school The harmonizing, and decision-making course of such movable, apperceiving and cognitive fish is exhibited. Also, a vivid computer cartoon about the artificial fish school is actualized with the result of the program in parts of a virtual sea and the validity of the mode is confirmed.

关 键 词：认知 人工鱼群体 行为动画 路径选择 PSO算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.9[自动化与计算机技术—控制科学与工程]