Journal of Systems Engineering and Electronics ›› 2010, Vol. 21 ›› Issue (5): 812-820.doi: 10.3969/j.issn.1004-4132.2010.05.015

• MILITARY SYSTEMS ANALYSIS • Previous Articles     Next Articles

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

Li Wang1,∗ and Mingzhe Wang2   

  1. 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
  • Online:2010-10-11 Published:2010-01-03

Abstract:

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.