Abstract:
Artificial Intelligence (AI) is one major aspect of Computer Science. Among the applications
of AI, expert systems are predominant. There are expert systems built for variety of subject
domains such as education, medicine, and engineering, and were built by imitating the human
experts with the ability to make accurate decisions by resolving the proper set of rules and
facts stored in a knowledgebase to solve more complex problems. When it comes to systems,
it is expected to be more accurate, reliable, efficient and complete. The current expert
systems consists of many facilities such as user interfaces, reasoning of the system,
knowledgebase, working memory, making inferences, prioritizing and an automatic way for
the user to enter knowledge, with compared to the human experts. Even though, the expert
systems are still behind and much specific in some aspect such as the abilities in generalizing
concepts, drawing associations among knowledge entities depending on the causal
relationships, adding new knowledge, removing irrelevant knowledge, prioritizing knowledge
entities for the execution as per the input to gain improvements over generations of execution
as human experts do. Among the technical categories of the expert systems such as rulebased,
frame-based and induction-based, our concern is to improve the rule-based expert
systems by solving the said problem by constructing a processing model which consists of the
processing states such as Origin, Classified, Pre-State, Resolve and Terminate with newly
introduced multiple sub-processes such as Input/Identify knowledge entities, Classify
facts/rules depending on the causal relationships crafting the generalizing facility and
Termination. When the system executes over generations, it produces outputs and gains
improvements using the above mentioned processing model as per the input/queries. For this
processing model, newly introduced sub-processes will be implemented using C
programming language and will integrate to the current expert systems written in ‗C
Language Integrated Production System‘ as a plug-in. The system will be able to evaluate by
comparing its states With-Plug-In and Without-Plug-In for the quality using a non-parametric
test such as Mann-Whitney-U-test and for the time using a paired-t-test. As a result we are
capable of providing an expert system which is more like a human expert.
