Large Scale Complex Multiagent Systems : Control Methodologies and Information Architectures

大规模复杂多智能体系统：控制方法和信息架构

• 批准号: DP0877562
• 负责人: Prof Brian Anderson
• 金额: $ 45.52万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-06-15 至 2011-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0877562
• 关键词: Large; Scale; Complex; Multiagent; Systems

Future military operations are likely to involve increasing use of unmanned vehicles, airborne, underwater or on land. In some cases there will be very large formations. This research will develop methodologies which allow formations of unmanned vehicles to be configured. Much of the same methodology is applicable to the construction and operation of large scale sensor networks, identified by some commentators as one of the most important technologies of the 21st century. They comprise large numbers of low cost networked sensors and will increasingly find application in security, agricultural and environmental monitoring.

未来的军事行动可能会越来越多地使用无人驾驶车辆，空中，水下或陆地。 在某些情况下，将有非常大的形成。这项研究将开发方法，使无人驾驶车辆的编队配置。大部分相同的方法适用于大规模传感器网络的构建和操作，被一些评论家认为是21世纪世纪最重要的技术之一。它们包括大量低成本的网络传感器，并将越来越多地在安全，农业和环境监测中找到应用。