Year

1987

Degree Name

Master of Science (Hons.)

Department

Department of Computer Science

Abstract

This project has applied Artificial Intelligence techniques to diagnose faults in an automatic sampling and preparation system in a Chemical laboratory- The expert system Mas written in microPROLOB to take advantage of the pattern matching and searching facilities as well as the ease of changing rules. A natural language interface was added to the system to enable those unskilled in the use of PROLOG to use the system-

Share

COinS