摘要
针对复杂适应系统(ComplexAdaptiveSystem,CAS)仿真中的Agent结构建模问题,提出了一种基于模糊神经网络的Agent反应器结构及实现,以提高Agent混合模型的性能,满足复杂适应系统仿真中对Agent反应器的快速性、自适应性与准确性的要求。最后,结合跨流域调水管理复杂适应系统仿真中Agent反应器的规则存储与推理过程,进行了实例分析。
An architecture and realization of Agent reactive module based on fuzzy neural networks is proposed which aims at the problem of Agent architecture for complex adaptive system(CAS)simulation.This architecture and realization is able to improve the performance of the hybrid Agent architecture and meet the requirements to Agent reactive module of complex adaptive system simulation in the fast,adaptive and exact aspects.Finally,combined with rule storing and reasoning process of Agent reactive module in the simulation of interbasin water transfer management complex adaptive system,the instance analysis is carried out.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第3期34-36,44,共4页
Computer Engineering and Applications
基金
国家自然科学基金项目(编号:50479018)资助
关键词
复杂适应系统
Agent混合结构
模糊神经网络跨
流域调水管理
complex adaptive system,hybrid Agent architecture,fuzzy neural networks,interbasin water transfer management
