摘要
在基于认知的人工鱼行为模型的基础上,增加实现鱼群个体间通信及鱼群与环境交互的互操作行为模块,建立面向群体行为的人工鱼体系结构与模型。提出了一种基于多Agent的人工鱼群自组织行为的研究方法:将基于这种体系结构的人工鱼作为Agent,其能感知环境信息,产生意图,规划行为。建立鱼群中Agent的运动、捕食、逃逸模型,通过个体间的相互作用涌现出群体的自组织行为,从而实现对鱼群的逼真模拟。
Add an inter-operated behavior module that can fulfill the communication among fishes and interact with environments to cognition-based behavior model of artificial fish, in order to build up architecture and model of artificial fish oriented schooling behaviors. A method which studies the school of artificial fish based on multi-agent system is given. Each artificial fish in school based on that kind of architecture is modeled as an agent, which can perceive information from the virtual environment, generate appropriate intentions, manage rational behaviors, and create motion to realize the intention. Through building up the model of locomotion, pursuit and evasion of agent in school, self-organized behaviors of school can be emerged by the interaction among individuals, so as to realize vivid simulations of artificial fish schooling.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第23期182-184,188,共4页
Computer Engineering
基金
国家自然科学基金资助项目"基于认知的人工动物高级行为规划研究"(60503024)
关键词
自组织
认知
集群
捕食
逃逸
self-organization
cognition
schooling
pursuit
evasion
