Expert Systems Generating Machine for Image Processing Applications
作者
Maan Ammar,Khuzama Ammar,Kinan Mansour,Waad Ammar
出处
期刊:Computer Science and Information Technology日期:2022-07-30卷期号:: 25-44被引量:1
标识
DOI:10.5121/csit.2022.121303
摘要
We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. Generating different expert systems using the same machine depends on the well-known fact that the function of an expert system is determined mainly by its knowledge base. The machine developed expedite very much the development of the expert system to reach best performance. The role of domain expert and the positive effect of the interaction between different domain experts in different fields is highlighted.