Using virtual reality, modelling, control, machine & deep learning to investigate behavioural dynamics of human machine interaction from a multiagent

使用虚拟现实、建模、控制、机器

• 批准号: 2296793
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2296793
• 关键词: Using; virtual; reality; modelling; control

Starting point will be to identify cognitive and behavioural processes of groups of humans performing cooperative perceptual motor tasks, with the use of mathematical modelling, machine and deep learning. The project will also seek to unfold the degree to which mechanism lead to the emergence of robust multi-agent human coordination in complex multi-agent-environment tasks in general. The aim will be to design artificial agents able to perform joint herding and crowd control tasks in cooperation with humans and use observations from experiments to design feedback control algorithms and cognitive architectures able to drive such agents

起点将是识别人类群体执行合作感知运动任务的认知和行为过程，使用数学建模，机器和深度学习。该项目还将寻求揭示机制在何种程度上导致在复杂的多智能体环境任务中出现强大的多智能体人类协调。其目的是设计能够与人类合作执行联合放牧和人群控制任务的人工代理，并使用实验观察结果设计反馈控制算法和能够驱动此类代理的认知架构