Persistent Decoy Teams with AI

持久的诱饵团队与人工智能

• 批准号: 2644348
• 金额: --
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2644348
• 关键词: Persistent; Decoy; Teams; AI

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.

这项研究旨在研究自动驾驶汽车及其团队/群体的进步以及人工智能可以为这一领域带来什么好处。具体而言，设想的好处之一是使用这种自主系统来模拟防御和结构化攻击任务的主机平台，包括压制敌方防空（SEAD）和作为硬杀伤末端执行器的双重角色。因此，团队/诱饵群可以部署复杂的防御和攻击模式，而不是通过集中式，分布式或紧急/分散式协调。在这方面，有相当多的研究，实际的协调架构，目标任务分配，紧急行为，规划和控制方面的自主车队和群。