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/群体中有什么好处，人工智能可以带给该领域。具体而言，设想的好处之一是将这种自治系统用于模仿宿主平台，以进行防御和结构性攻击任务，包括抑制敌方防空（SEAD）和双重角色作为硬杀死最终效应。因此，诱饵的团队/群可以通过集中，分布或新兴/分散的协调来部署复杂的防御和攻击模式。在这方面，存在有关实际协调架构，目标任务分配，紧急行为，计划和控制自动驾驶车队和群体的方面的大量研究。