Collective animal behaviour and artificial swarm systems

集体动物行为和人工群体系统

• 批准号: 2780559
• 金额: --
• 依托单位: Swansea University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2780559
• 关键词: Collective; animal; behaviour; artificial; swarm

Early models of collective animal behaviour and many artificial swarm systems assume individuals and agents to be identical. Recent advances in animal behaviour observations show high individual heterogeneity in almost every collective animal behaviour system they study, and this heterogeneity is important for animal group structure and functioning. This PhD project will use unique datasets on the collective behaviour of fish shoals, bird flocks, and mammal groups, to address the mismatch between swarm model assumptions and reality. The aim of this PhD project is to understand heterogeneity's role in the emergence of collective patterns, with a view to engineering better artificial swarm systems.

早期的集体动物行为模型和许多人工群体系统假设个体和代理是相同的。动物行为观察的最新进展表明，他们研究的几乎每一个集体动物行为系统都存在高度的个体异质性，这种异质性对动物群体结构和功能非常重要。这个博士项目将使用关于鱼群，鸟群和哺乳动物群体集体行为的独特数据集，以解决群模型假设与现实之间的不匹配。这个博士项目的目的是了解异质性在集体模式出现中的作用，以期设计出更好的人工群体系统。