Building macroscale models from microscale probabilistic models

从微观概率模型构建宏观模型

• 批准号: DP140100339
• 负责人: Prof Barry Hughes
• 金额: $ 23.5万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2019-11-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140100339
• 关键词: Building; macroscale; models; microscale; probabilistic

Spatial patterns arise in biological and physical processes. Understanding how local individual-based functions, such as movement and interactions between individuals, give rise to global spatial distributions and patterns in populations of individuals is generating much interest. Probabilistic agent-based models provide information about the movement of individuals, whereas continuum models provide information about the global properties, such as spread of populations. This project will provide tools for determining the connection between the two types of models, thereby linking the behaviour on microscopic and macroscopic scales.

空间模式产生于生物和物理过程。了解当地的个人为基础的功能，如个人之间的运动和相互作用，引起全球空间分布和个人的人口模式产生了很大的兴趣。基于概率代理的模型提供关于个体移动的信息，而连续体模型提供关于全局属性的信息，例如种群的扩散。该项目将提供确定两类模型之间联系的工具，从而将微观和宏观尺度上的行为联系起来。