摘要
针对多次跳跃引起的雷场自修复效率问题,提出一种基于智能代理(Agent)的雷场自修复策略。该策略采用分布式算法,引入智能Agent体系,将雷场每个节点看做一个智能Agent,利用"黑板模型"消息传递机制进行信息融合,形成了一种以策略驱动Agent,多Agent节点协作的自修复策略。仿真结果表明:该修复策略能对缺口信息作出快速反应,进行全局规划修复,避免了修复节点的多次跳跃。
This paper presented a new strategy based on intelligent agent for the problem of minefield inefficient self-repairing which caused by node multiple jumps.This strategy used distributed algorithm and adopted intelligent agent technology,each node was an intelligent agent in the minefield,using ＂blackboard model＂ message transfer mechanism to complete information fusion,produced a minefield self-repairing strategy of strategy driving and multiple nodes collaboration.Simulation results showed that this strategy could make a rapid response to minefield gap,and plan a global repairing,which averted node multiple jumps.
出处
《探测与控制学报》
CSCD
北大核心
2011年第6期33-37,共5页
Journal of Detection & Control
关键词
雷场自修复
智能AGENT
黑板模型
信息融合
self-repairing minefield
intelligent agent
blackboard model
information fusion
