采用面向对象模糊Petri网的侦察平台Agent建模

为适应侦察平台Agent中各种知识的分类及知识动态更新过程的需求,采用一种自下而上的面向对象的模糊Petri网建模方法,不仅考虑处理中的侦察平台Agent推理规则,而且更注重其结构、子系统及相互通信方式.在分析侦察平台Agent模型及其知识推理系统的基础上,研究了面向对象的模糊Petri网建模的理论、建模步骤及示例.示例演示证实了模型的可行性与有效性.

Reconnaissance Platform Agent Modeling with Object Oriented Fuzzy Petri Net

To meet the requirements of knowledge classification and process of knowledge updating or modifying frequently in a reconnaissance platform agent, a formal bottom-up modeling method called Object Oriented Fuzzy Petri Net (OOFPN) modeling method is used in this paper. It not only cares about what reasoning rules are being processed in a reconnaissance platform agent, but also pays much attention on the structure, subsystem and how they communicate each other. Based on the analysis of a reconnaissance platform agent model and its knowledge reasoning system, the modeling theory, modeling steps with OOFPN and a case are studied. The feasibility and efficiency of the model are proved by the example demonstration.