Collabortive Research on Probabilistic Models of Social Choice

社会选择概率模型的合作研究

• 批准号: 9730578
• 负责人: Bernard Grofman
• 金额: $ 21.2万
• 依托单位: University of California-Irvine
• 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: 1998-07-01 至 2002-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9730578&HistoricalAwards=false
• 关键词: Collabortive; Research; Probabilistic; Models; Social

This collaborative project with Regenwetter (9730076) 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 Regenwetter (9730076) 的合作项目涉及选择心理模型在投票行为和其他选择过程的实际数据中的应用。 我们的目标是开发选择的概率模型，使我们能够根据观察到的投票选择的部分数据重建潜在的偏好模式，重点是开发可以根据世界各地选举数据进行测试的模型。 我们还将研究根据区别对基础认知信息处理进行分类的方法，例如基于“偏好”的选择与基于所谓的“判断”的选择，并且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（特别是经济学和政治学）的最新发展以及统计学中的随机效用模型相关。