基于管理Agent的改进协作模型的研究

自动化计算总的越来越趋向于网络化、智能化、代理化、人性化发展,多Agent系统正是在这种环境之下发展起来的一种先进的计算模式。通常情况下,多Agent系统中的Agent在逻辑上或者物理上是分离的,Agent间交互与协作的智能行为及其有效性是多Agent系统研究的重点。对多Agent协作机制的研究主要是在动态环境下,多个独立自主的Agent通过相互的交互与协作等智能行为去完成对任务的求解。在多Agent系统中,传统的基于管理Agent协作机制属于集中式协调方式,采用这种协作模型的多Agent系统导致其管理Agent成为整个系统的瓶颈,从而影响系统完成任务的效率与稳定性,也增加对系统额外的维护费用。文章通过在传统基于管理Agent协作机制中加入了＂熟人＂、状态值元素,平衡了系统Agent的负载,降低了对管理Agent的维护成本,整体上提高了系统解决问题的效率。

Research on management Agent based improved agents collaborative model

Themajor development tend of automation computing is more and more networked,intelligent,agent,humane;and working with this situation and development requirements,the multi-Agent System appeared and is developed as a new computing model.Usually,the agents in multi-agents system are logically or physically separated,so the intelligent behavior and effectiveness of agents＇ interaction and collaboration is one of the hot spots in research area.The study of multi-agents collaborative mechanism is to design a model in a dynamic environment and arrange multiple independent agents to solve problems through their interaction and collaboration.For traditional management agent based multi-agents system,its collaborative mechanism is a centralized model which means all collaborations and interactions are going through the management agent,and the management agent will be bottleneck of whole system,it also affects the system performance,effectiveness and stability;furthermore it increases the whole system maintenance cost.Here it bases on the study of the traditional management agent based multi-agents systems,by adding the ＂acquaintance＂ and ＂status value＂ elements to the traditional model,to illustrate a new improved management agent based multi-agents system design.Through this new model,it can reduce the whole system maintenance cost and overally enhance the efficiency of whole system in solving problems.