基于CAS/Agent的装甲装备战损模型仿真

Simulation of Armored Equipment Battle Damage Based on CAS Theory & Agent

针对传统战损模型研究方法存在的不足,提出用人工神经网络的学习能力模拟Agent的适应性。借鉴CAS(Complex Adaptive System)理论的建模思想,引入ERA(Environment-Rules-Agents)方案建立战损模型。在外部干预Agent作用下,运用BP算法并结合CT(Cross Target)算法对红蓝双方对抗战斗进行仿真,模拟动态战场环境下装备损伤的演化过程。该模型可更好地理解装备损伤的动力学特性。

In accordance with the limitation of traditional research on battle damage model, a method of simulating the adaptability by artificial neural network is proposed. Referring to the modeling scheme of Complex Adaptive System (CAS) Theory, a model of battle damage using Environment-Rules-Agent (ERA) scheme is built. The dynamic evolvement process of equipment battle damage under the effect of external intervene agent in uncertain dynamic battlefield environment is simulated through the RED and the BLUE Army’s...