Evidential theoretic modeling and analysis of recognition primed cognitive decision processes under incomplete knowledge and information

这个项目有三个研究目标。第一个目标是为人类和具有不完全知识和信息的自动化之间的自适应功能分配（或自适应自动化）发展一种理论。认知过程分为四个阶段：信息获取、信息分析、决策和行动选择、行动实施。讨论了每个阶段人类和自动化之间的控制共享和交换。第二个研究目标是为人类在时间压力下的决策制定一个框架。一些研究人员最近声称，规范性决策模型不能代表专家的决策。这项研究已经证明，这种说法可能并不总是正确的，并提出了一系列决策问题，从纯粹的识别启动模型到纯粹的规范性决策，用于调查各种各样的现实决策问题。第三个目标是研究人类认知决策过程中的信念更新机制。建立了一种实验研究工具，并进行了认知实验。据观察，大多数受试者更新他们的信念函数值的机制对他们以前的信念值有一种“惯性”。

This project has three research goals. The first goal is to develop a theory for adaptive function allocation (or, adaptive automation) between humans and automation with incomplete knowledge and information. Four phases are distinguished for cognitive processes : information acquisition, information analysis, decision-making and action selection, and action implementation. Sharing and trading of control between humans and automation are discussed for each phase.The second research goal is to develop a framework for human decision making under time stress. Some researchers have claimed recently that normative decision models fail to represent expert decisions. This study has proven that the claim may not always be true, and has proposed a continuum of decision problems that ranges from a purely recognition-primed model to a purely normative decision-making for investigation of wide variety of realistic decision problems.The third goal is investigation of belief updating mechanism in human cognitive decision processes. An experimental research vehicle has created and cognitive experiment has been conducted. It has been observed that most subjects updated their belief function values with some mechanism that has a sort of 'inertia' to their previous belief values.