基于多Agent的人工鱼群自组织行为算法

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。

Self-organization Behavior Algorithm of Artificial Fish School Based on Multi-agent

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.