Decision Field Theory for Decision Trees

决策树的决策场论

• 批准号: 9602102
• 负责人: Jerome Busemeyer
• 金额: $ 10.26万
• 依托单位: Purdue Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-08-15 至 1998-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9602102&HistoricalAwards=false
• 关键词: Decision; Field; Theory; Trees

Decision Field Theory for Decision Trees Dynamic programming is the prescribed method for planning multiple-stage decisions. This prescriptive theory is based on two fundamental principles: Dynamic consistency and consequentialism. However, the empirical validity of these two principles has not been tested. The purpose of this research is to conduct three sets of experiments, where each set is designed to empirically test the dynamic programming principles of dynamic consistency and consequentialism.

决策树的决策场论动态规划是规划多阶段决策的规定方法。这种规定性理论基于两个基本原则：动态一致性和结果主义。然而，这两个原则的实证有效性尚未得到检验。本研究的目的是进行三组实验，每组实验旨在实证检验动态一致性和结果主义的动态规划原理。