Qualititive Interfaces for Quantitative Models

定量模型的定性接口

• 批准号: 8807061
• 负责人: Max Henrion
• 金额: $ 49.6万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-07-15 至 1991-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8807061&HistoricalAwards=false
• 关键词: Qualititive; Interfaces; Quantitative; Models

This interdisciplinary project is concerned with relationships between formal quantitative methods used to aid diagnosis and decision making under undertainty and the informal, largely qual- itative mental models employed by the human beings who apply such methods. The goal is to be able to design effective user inter- faces to the quantitative methods. Topics to be investigated include the use of hierarchically structured influence diagrams to specify and display the qualitative structure of models; ways of representing, propagating, and analyzing vagueness and uncer- tainty; and quantitative and qualitative explanations of model behavior. Research will include psychological experiments to evaluate graphic tools for the probability encoding of uncertain influences and to investigate probability encoding on the basis of causal and diagnostic relations. The knowledge sought in this research is fundamental to the design of machines that can effectively aid human beings in a quintessentially human function: deciding important issues where much is known, but much remains uncertain.

这个跨学科的项目关注的是 用于辅助诊断的正式定量方法和 在不知情和非正式的情况下决策，在很大程度上是平等的， 应用这种方法的人所采用的积极的心理模型 方法. 目标是能够设计有效的用户交互， 面向定量方法。 待调查的主题 包括使用分层结构的影响图 指定和显示模型的定性结构;方法 代表，传播和分析的能力和不确定性， 以及模型的定量和定性解释 行为 研究将包括心理学实验， 评估图形工具的概率编码的不确定性 影响，并在此基础上研究概率编码 因果关系和诊断关系。 在这项研究中寻求的知识是基础， 设计机器，可以有效地帮助人类 一个典型的人类功能：决定重要问题 那里有很多已知的东西，但还有很多不确定的东西。