A HYBRID KNOWLEDGE REPRESENTATION FOR THE DOMAIN MODEL OF INTELLIGENT FLIGHT TRAINER
After nearly 40 years of development, Intelligent Tutoring Systems (ITS) is moving from research labs into the real world. However, Flight training seems to be somewhat divorced from the mainstream of ITS application. One reason is the difficulty in the knowledge representation of flight training domain, especially the procedural knowledge of flight maneuvers. After a brief review of knowledge representation in ITS, it is clear that the requirements of KR are naturalness and ease to update. Concept Knowledge Tree (CKT) is an ideal method to represent structural and relational knowledge. Behavior Tree is an elegant and understandable solution to procedural knowledge representation for creating reusable logic. CKT and BT can be combined through script and thus a powerful hybrid knowledge representation method was put forward. With authoring tools, a domain expert can even work without the help of knowledge engineer. The analysis of normal takeoff as an example of a single flight maneuver and the construction of flight maneuver knowledge tree proved the hybrid method an appropriate method to develop the domain model of intelligent flight trainer.
intelligent tutoring system domain model knowledge representation flight training
Xiaobing Geng Shuxin Qin Hongxing Chang Yiping Yang
Integrated Information System Research Center, Institute of Automation, Chinese Academy of Sciences, Integrated Information System Research Center, Institute of Automation, Chinese Academy of Sciences,
国际会议
北京
英文
29-33
2011-09-15（万方平台首次上网日期，不代表论文的发表时间）