Acquisition , Representation and Rule Generation for Procedural Knowledge

Historically knowledge acquisition has proven to be one of the greatest barriers to the development of intelligent systems. Current practices generally require lengthy interactions between the expert whose knowledge is to be captured and the knowledge engineer whose responsibility is to acquire and represent the expert's knowledge in a useful form. Although much research has been devoted to the development of methodologies and computer software to aid in the capture and representation of some types of knowledge, little attention has been devoted to procedural knowledge. NASA personnel, on the other hand, frequently perform tasks that are primarily procedural in nature.