基于群体 OODA 的无人集群系统智能评价模型及方法

With the rapid development of unmanned systems and intelligent techniques，as well as the increasing complexity of the applications，intelligent unmanned swarm systems have developed rapidly. Unmanned swarms can effectively complete complex tasks via networking cooperation，and have demonstrated their potentials in the fields of defense equipment and national economy. At the same time，intelligence evaluation of unmanned swarms involves diverse scenarios，multidimensional indexes，and multi-class methods. It is quite a challenging research field. Supported by national research projects，this paper proposes the co-evolution model and the level-evaluation model based on collective Observe-Orient-Decide-Act （OODA） loop. Then. the scenario-driven evaluation process，evaluation methods and evaluation platform are proposed. A preliminary validation of the results is also conducted with Unmanned Swarm System （USS）.