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

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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.