基于智能代理的雷场自修复策略  

A Self-repairing Minefield Strategy Based on Intelligent Agent

作　　者：梁聪聪[1] 焦国太[1] 张可[1] 陈建文[1] 

机构地区：[1]中北大学机电工程学院,山西太原030051

出　　处：《探测与控制学报》2011年第6期33-37,共5页Journal of Detection & Control

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.

关 键 词：雷场自修复 智能AGENT 黑板模型 信息融合 

分 类 号：TJ51[兵器科学与技术—军事化学与烟火技术]