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.
An approach for modeling a human cognitive framework in time-stressed decision making is presented. The recognitive and metacognitive processes that represent the cognitive framework are modeled by the colored Petri nets （CPNs）. A structural and behavioral analysis method is adopted to obtain the static and dynamic property used to verify the CPNs model of the cognitive framework. Finally, an example from the command and control radar recognition system is used to evaluate the feasibility and availability of the CPNs model adopted in practical systems.
针对一类由众多组件系统集结而成的系统之系统(system of systems,SoS),以美国国防部体系结构框架(DoDAF)为标准,提出了一种基于面向对象思想的SoS体系结构DoDAF作战视图产品五阶段迭代设计方法。利用UML静态和动态建模机制的特点,采用自顶向下、自底向上相结合的方式实现SoS体系结构作战视图产品的面向对象描述。以一个战术导弹防御(tactical missile defense,TMD)系统为例,详细说明SoS体系结构DoDAF作战视图产品的面向对象设计过程,并总结了该方法的两大优越特性:横向通用性与纵向可复用性,以及由此给SoS体系结构带来的"柔性"优势。这是传统设计方法所不能实现的。
