Connecting Empirical and Mathematical Approaches to Collective Behaviour

将经验方法和数学方法与集体行为联系起来

• 批准号: RGPIN-2017-06094
• 负责人: Lukeman, Ryan
• 金额: $ 1.02万
• 依托单位: St. Francis Xavier University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635688
• 关键词: Connecting; Empirical; Mathematical; Approaches; Collective

Across scales, biological aggregates form striking patterns, display coordinated, cohesive motion, and function via principles of self-organization, yet complexity at the group level can obscure the underlying mechanisms. Determining how such group behaviour emerges and is sustained involves both direct observation of such groups, and mathematical models to test hypothetical behaviour regimes.

在不同尺度上，生物聚集体形成引人注目的模式，表现出协调一致的运动，并通过自组织原理发挥作用，但群体层面的复杂性可能会掩盖潜在的机制。确定此类群体行为如何出现和持续涉及对此类群体的直接观察，以及测试假设行为制度的数学模型。