摘要
提出一种基于Agent的细胞自动机(CA)演化模型,并采用整体建模仿真的方法,对农田虫害的演化进行了模拟.它采用自底向上的建模思想,利用Agent的局部连接规则,建立复杂系统的整体模型.针对不同环境条件设定相应的仿真参数,可以得到恰当的害虫种群演化结果,有助于农田生态管理的科学决策.同时,农田虫害的管理是预测专家系统的重要应用领域,该模型与专家系统的最终集成,可以提高专家系统的预测能力.
This paper presents an agent-based cellular automata model of artificial ecosystems (AEs), and the evolution of pests in local agro-ecosystems is simulated. Agent Based Modeling (ABM) is used to get an idea of the global dynamics of a complex system by building it from the bottomup. Adequate evolution results made by setting corresponding parameters for different environment conditions help to the decision-making of agro-ecosystem management.
基金
Supported by National 863 Hi Tech R & D Plan ( 2003AA209020 ), and Project 863 (2002AA243031).
