针对复杂对抗系统的自适应和涌现性等特征,提出了一种将嵌套网模型结合BDI(belief,desire,intention)范例理论的多组织模型。主要贡献在于:有效地拓展了系统自身的动态适应性和稳定性;规划出一整套用于对抗模型平台的静态数据组织方式,并给出了各中间对抗过程的综合模型;针对实际问题,研究了仿真对抗过程的层次描述结构,并讨论了相关的运行机制。该模型的提出降低了建模复杂度,提高了模型的柔性度,有效地揭示了对抗本身的本质特征和推演规律,体现了模型在求解复杂自适应问题的强大优势。
War games are such kind of traditional CAS (complex adaptive systems) ; however, the common simulation can not totally reflect their characteristics. Aiming at the non-lineal, self-organization, self-adaptive and emergence of the war games, a novel model combined with nested Petri nets and BDI (belief-desire-intention) concept is introduced to such a multi-organization system. The main contributions to our paper are summa- rized as follows., a nested Petri nets modeling method based on BDI theories is put forward, improving its dynamic characteristic and stahility; a special structure for Static data organization is designed to the ASP (antagonism simulation platform), and the synthesized model of fighting, moving and self-adaptive is described as well; according to the real-world problem, we also give the whole construction of level structures for the antagonism process, and its related operating mechanisms are discussed in this paper. This method not only decreases the complexity of modeling, but improves the flexibility as well. When applied in the war games, this model can reveal characteristics and operating regulations of the system itself well, and take account for the power advantage of the model when it comes to solve the complex adaptive problem.