A Model Driven Question-Answering System for a Computer Assisted Instruction (CAI) Environment.
Final rept. Jul 70-May 72,
SYSTEM DEVELOPMENT CORP SANTA MONICA CALIF
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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.
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