Modelling human decision making in complex environments

对复杂环境中的人类决策进行建模

• 批准号: DP160101891
• 负责人: Prof Andrew Heathcote
• 金额: $ 44.47万
• 依托单位: University of Tasmania
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-04-21 至 2019-04-21
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160101891
• 关键词: Modelling; human; decision; making; complex

The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demands when dealing with multiple stimuli or performing multiple tasks concurrently under time pressure. The project aims to provide the basic research that is needed to extend psychological models of choice to complex ‘real-world’ tasks, such air traffic control and maritime surveillance.

该项目旨在将简单选择任务的量化心理模型扩展到复杂环境中复杂刺激下的决策。新的正式模型旨在提供对行为的全面描述，包括做出的选择，做出选择需要多长时间，以及决策者内部和之间的选择和选择时间是如何变化的。这些模型将解释人们在处理多个刺激或在时间压力下同时执行多项任务时，如何适应任务需求的变化。该项目旨在提供所需的基础研究，以将可选的心理模型扩展到复杂的“现实世界”任务，如空中交通管制和海上监视。