A Model Driven Question-Answering System for a Computer Assisted Instruction (CAI) Environment.
Abstract
The report describes a question-answering system which permits students in a computer assisted instruction (CAI) environment greater initiative in the variety of questions they can ask concerning the subject area being studied. A method of representing processes as augmented finite-state automata is developed and is shown not only to permit efficient inferencing about dynamic processes but also to provide a satisfactory deep structure for paragraph generation. A CAI system dealing with meteorology is described which uses this automation model to represent the processes in meteorology. Coupled with the dynamic process model is a semantic conceptual network which contains the static information about meteorology. Examples of the inferencing techniques using both the automaton model and the semantic network are given. A sample session with this system is included in the Appendices. (Author) Portions of this document are not fully legible.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1973
- Accession Number
- AD0760115
Entities
People
- Frank Zdybel
- John S. Brown
- Richard R. Burton
Organizations
- System Development Corporation