A Reasoning System about Knowledge Extraction in Human-computer Interaction

The development of Intelligent Decision Support System is a key application for artificial intelligence technology. And human-computer interaction is the most common action in Intelligent Decision Support System. In the process of human-computer interaction, the input of decision problem and the output of the solution will be converted into the knowledge that can be extracted by machine. Human-computer interaction is a dynamic process, which involves knowledge extraction and sharing between machines and people. In this paper, we establish a Knowledge Extraction System (KES) based on the analysis of the usual knowledge types that are involved in the interaction process. And then we prove its soundness and completeness, explore some properties about reasoning in human-computer interaction. In this system, we can find the interpretation as to how the machine understands human's questions and reasons intelligently. It also reflects how the cognitive agent extracts each other's private knowledge into common knowledge that later becomes its own knowledge during the interactive process.