Title

A Frame-based Knowledge Representation Scheme for an Expert System

Abstract

An Expert System includes a knowledge-base which contains the knowledge that reasoning and conclusions are based on. A useful system must employ an efficient method to represent the knowledge of the system and the knowledge must be easy to access. This paper describes a representation of data that can be used in an intelligent simulation training system. It is currently being implemented in a project entitled Intelligent Simulation Training System (ISTS), which is a generic simulation-based training system. ISTS acts as the human training instructor. The representation developed in this report is for phraseology type data used in the tutoring phase of the training session. The design of two application programs using the representation is included. The Knowledge Acquisition Module is used by an expert to add phraseologies to the representation. The Analyzer Module accesses the representation to identify a student-entered phraseology. The phraseology is analyzed for syntax and semantic errors. If the user phraseology is correct, the module instantiates and forwards the phraseology. The representation scheme developed in this paper for phraseologies is easy to access and yet efficient. Because it employs design techniques and structures commonly found in expert systems, it enhances the development of an expert system such as ISTS.

Notes

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Graduation Date

1989

Semester

Spring

Advisor

Petrasko, Brian E.

Degree

Master of Science (M.S.)

College

College of Engineering

Department

Electrical Engineering and Communication Sciences

Format

Print

Language

English

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Subjects

Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic

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