Persistent Decoy Teams with AI

这项研究旨在探讨自动驾驶汽车及其团队/群的进步以及人工智能可以给这一领域带来的好处。具体地说，其中一个设想的好处是使用这种自主系统来模拟主机平台，用于防御和结构化攻击任务，包括压制敌人防空(SEAD)和作为硬杀伤末端执行器的双重角色。因此，团队/群诱饵可以部署复杂的防御和攻击模式，而不是通过集中、分散或紧急/分散协调。在这方面，人们对自主车队和群体的实际协调结构、目标任务分配、紧急行为、规划和控制方面进行了大量的研究。

This research aims to look at what benefits advancements in autonomous vehicles and their teams/swarms, and Artificial Intelligence can bring to this domain. Specifically, one of the envisioned benefits is usage such autonomous systems to mimic host platforms for both defence and structured attack missions including suppression of enemy air defence (SEAD) and dual-role as hard kill end-effectors. As such, teams/swarms of decoys can deploy complex defence and attack patterns rather this be through centralized, distributed or emergent/decentralized coordination. In that respect, there exists considerable research on the actual coordination architectures, target-task assignment, emergent behaviour, planning and control aspects of autonomous vehicle fleets and swarms.