How are beliefs altered by data? Robust Bayesian models for human inductive learning

数据如何改变信念？

• 批准号: DP110104949
• 负责人: Prof Andrew Perfors
• 金额: $ 32.59万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2011
• 资助国家: 澳大利亚
• 起止时间: 2011-03-26 至 2016-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP110104949
• 关键词: How; beliefs; altered; data; Robust

This project applies state of the art mathematical models to study how people think and reason, and how we can make good guesses about the future. The goal is to understand how the human mind can operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.

这个项目应用最先进的数学模型来研究人们如何思考和推理，以及我们如何对未来做出正确的猜测。目标是了解人类的思维如何在真实的环境中如此有效地运作，即使是最强大的计算机也难以处理日常学习问题的复杂性。