Collaborative Research: Basic and Applied Research Leading to a Linguistic Probability Translator (LPT)

本研究的目的是开发一个语言概率翻译（LPT），最初作为一个有用的研究工具，随后作为一个决策辅助通信社区（定义为一个集合的提供者和接收者的风险估计或预测）。 LPT将改善主观判断和预测从专家到决策者（DM）的沟通，因此也改善了最终的决策。 当完全实现时，LPT将使用基于实证研究的定量方法，以最好地保留通信的预期数字和非数字含义的方式，从一个或多个专家的个性化不确定性词汇转换为DM的个性化词汇。 如果需要，LPT将把短语翻译成数字概率或概率区间，或者从数字预测翻译成DM词典中的适当短语。 如果有多个预测，LPT可以将每个预测转化为DM的最佳短语，或者将它们聚合并选择一个最佳表达。LPT的创建需要基础和应用研究以及软件开发。 基础研究将集中在测量和人类信息处理有关的不确定性判断的形成和通信的问题。 软件开发将侧重于LPT的实际建设，应用工作将检验系统的有效性和质量。 总的来说，这项研究将推进关于意见的测量和沟通的基础理论，并将导致计算机辅助决策，以改善该领域的决策。

This research aims to develop a Linguistic Probability Translator (LPT), initially as a useful research tool and subsequently for use as a decision aid within a communication community (defined as a collection of providers and receivers of risks estimates or forecasts). The LPT will improve the communication of subjective judgments and forecasts from experts to decision makers (DMs), and therefore also improve the resulting decisions. When fully realized, LPT will use quantitative methods based on empirical research to translate from one or many experts' individualized lexicons of uncertainty to a DM's individualized lexicon in a manner that best preserves the intended numerical and non-numerical meanings of the communication. If required, the LPT will translate the phrases into numerical probabilities or probability intervals, or from a numerical forecast into an appropriate phrase in a DM's lexicon. If there are multiple forecasts, LPT could translate each one into the DM's best phrase, or aggregate them and select a single best expression.The creation of LPT will require basic and applied research, as well as software development. The basic research will focus on issues of measurement and human information processing regarding the formation and communication of uncertain judgements. The software development will focus on the actual construction of LPT, and the applied work will examine the effectiveness and quality of the system. Overall, this research will advance basic theory regarding the measurement and communication of opinion, and will result in a computerized decision aid to improve decision making in the field.