Learning and choosing in a complex world

在复杂的世界中学习和选择

• 批准号: DP150104206
• 负责人: A/Prof Danielle Navarro
• 金额: $ 23万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150104206
• 关键词: Learning; choosing; complex; world

How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoretically, the project aims to use tools from machine learning to compare human decision making to optimal planning models.

人们如何在一个复杂的世界中做出选择？做出好的选择需要专业知识，但是为了获得这种知识，人们往往必须放弃奖励。这就是“探索-利用困境”的本质：为了在很长一段时间内获得最大的回报，人们必须现在就花时间去探索和学习。从经验上讲，本项目旨在统一现有的许多心理学文献，并将其扩展到涵盖更丰富、更复杂的问题。理论上，该项目旨在使用机器学习工具将人类决策与最优规划模型进行比较。