Collaborative Research on Probabilistic Models of Social Choice

社会选择概率模型的合作研究

• 批准号: 9730076
• 负责人: Michel Regenwetter
• 金额: $ 11.5万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-04-01 至 2001-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9730076&HistoricalAwards=false
• 关键词: Collaborative; Research; Probabilistic; Models; Social

This collaborative project with Grofman (9730578) deals with applications of psychological models of choice to actual data on voting behavior and other choice processes. We aim to develop probabilistic models of choice that will enable us to reconstruct underlying patterns of preferences from partial data on observed voting choices, with a focus on developing models that can be tested on data from elections around the world. We also will look at ways of classifying underlying cognitive information processing in terms of distinctions such as choices based on `preferences` versus choices based on what may be called `judgements,` and we consider how different measurement techniques may be needed for different types of cognitive mechanisms. Our work is linked to recent developments in a number of different social science disciplines, especially economics and political science, and to random utility models in statistics.

这个与Grofman（9730578）的合作项目涉及选择的心理模型对投票行为和其他选择过程的实际数据的应用。 我们的目标是开发选择的概率模型，这将使我们能够从观察到的投票选择的部分数据中重建潜在的偏好模式，重点是开发可以在世界各地的选举数据上进行测试的模型。 我们还将研究如何对潜在的认知信息处理进行分类，如基于“偏好”的选择与基于“判断”的选择，我们考虑不同类型的认知机制可能需要不同的测量技术。 我们的工作与许多不同社会科学学科的最新发展有关，特别是经济学和政治学，以及统计学中的随机效用模型。