Complicated Decision Task Modeling Based on Bayesian Networks

摘要：

With the quickly development of the high-technique, a severe challenge is put off to the complicated tasks decision & solving by the complexity of the system. Modeling and solving the complicated decision task by using Agent technique and the Bayesian networks technique can make full use of the mutual relation among the systems parts, and provide a new thinking for the complicated problem solving. An analysis for the process of complicated decision task modeling basing on Bayesian networks is given, and then the Agent technique is used to the sub-networks for the modularity and solving of the complicated decision task, the two techniques simplify the decision process.

关键词： Intelligent decision Bayesian Networks Agent Cooperation Modularity

作者: Ding Shiyong Wang Shuli Chen Kangzhu

作者单位: Academy of Armored Forces Engineering,Beijing,100072 China Academy of Armored Forces zngineering,Beijing,100072 China

会议类型: 国际会议

会议名称: The Third International Symposium on Test Automation & Instrumentation(第三届国际自动化测试与仪器仪表学术会议 2010 ISTAI)

会议地点: 厦门

会议语种:英文

页码: 456-459

在线出版日期: 2010-05-22（万方平台首次上网日期，不代表论文的发表时间）