基于多Agent构建认知主导决策模型  

Recognition-Primed Decision-Making Model Based on Multi-Agent

作　　者：邵伟[1] 陈春[1] 陶金[1] 

机构地区：[1]海军蚌埠士官学校信息技术系,安徽蚌埠233012

出　　处：《兵工自动化》2013年第4期35-39,共5页Ordnance Industry Automation

摘　　要：为了加强军事仿真系统的决策能力,建立基于多Agent构建认知主导决策模型。分析决策认知过程,抓住人认知经验中的关键要素进行描述建模,通过这些要素生成一个计算模型,模拟认知主导决策中决策者的决策过程,并以一个登陆战役的例子进行仿真计算。仿真结果表明:认知主导决策模型相对于基于规划的决策模型更符合高度不确定、信息部完全、时间压力下的作战决策行为的特点和规律。To strengthen the decision-making capability of military simulation systems, build the recognition-primed decision based on multi-Agent. Analyze decision and recognition process, describe and establish model by capturing the key factors of person＇s cognitive experience. Create the calculation model by these factors, simulate the decision process of RPD, and simulate and calculate based on a landing campaign example. The simulation results show that the recognition-primed decision-making model is more suitable for the decision-making behavior with the uncertainty, un-complete information and the time pressure than the decision-making model based on regular.

关 键 词：决策模型 认知主导决策 多AGENT 

分 类 号：TJ03[兵器科学与技术—兵器发射理论与技术]