Stored-Knowledge Based Troubleshooting and Diagnosing System

Recognizing and detecting system problems by any human intelligent is a complicated process which demands high technical-knowhow just as simple problem could take hours or even days to solve. Expert systems use human knowledge often stored as rules within the computer to solve problems that generally would entail human intelligence. This paper proposes a stored-knowledge based troubleshooting and diagnosing system that mimic human intelligence in solving system problems. The system is composed of a user interface, a knowledge-base, an inference engine, and a stored-knowledge based system interface including an intelligent agent that assists in the knowledge acquisition process. The stored-knowledge based system is meant to automate troubleshooting and diagnosis of system problems that ordinarily would have been carried out manually by human intelligence, which is laborious, costly, and time consuming. The developed system used backward chaining approach to infer the rules while the forward chaining approach is left as future work.