Modeling of combined Bayesian networks and cognitive framework for decision-making in C2  

作　　者：Li Wang Mingzhe Wang 

机构地区：[1]School of Physics & Information Engineering, Jianghan University, Wuhan 430056, P. R. China [2]Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2010年第5期812-820,共9页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China (60874068)

摘　　要：The command and control（C2） is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approach,Bayesian networks（BNs） provide a framework in which a decision is made by combining the experts＇ knowledge and the specific data.In addition,an expert system represented by human cognitive framework is adopted to express the real-time decision-making process of the decision maker.The combination of the Bayesian decision support and human cognitive framework in the C2 of a specific application field is modeled and executed by colored Petri nets（CPNs）,and the consequences of execution manifest such combination can perfectly present the decision-making process in C2.The command and control（C2） is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approach,Bayesian networks（BNs） provide a framework in which a decision is made by combining the experts＇ knowledge and the specific data.In addition,an expert system represented by human cognitive framework is adopted to express the real-time decision-making process of the decision maker.The combination of the Bayesian decision support and human cognitive framework in the C2 of a specific application field is modeled and executed by colored Petri nets（CPNs）,and the consequences of execution manifest such combination can perfectly present the decision-making process in C2.

关 键 词：Bayesian networks decision support cognitive framework command and control colored Petri nets. 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] C934[自动化与计算机技术—控制科学与工程]