Design and Implementation of Intelligent Agent and Diagnosis Domain Tool for Rule-Based Expert System
Mohammed Abbas Kadhim, M. Afshar Alam, Harleen Kaur
Abstract
Mohammed Abbas Kadhim, M. Afshar Alam, Harleen Kaur
Abstract
The use of expert systems in different organizations can speed-up of human professional work. Expert System (ES) is one of the common application of Artificial Intelligence (AI) has focus on the construction of high performance programs in specific professional domain. In this paper we introduce a tool for constructing rule-based expert system called DDTRES (Diagnosis Domain Tool for Rule-based Expert System), this tool provide variety of functions to facilitate the development of expert systems for practical problems in different diagnosis domain. The DDTRES consists of four components: end-user interface, inference engine, explanation facility, and empty knowledge base. We proposed also an intelligent agent for data mining to extract set of rule from medical dataset and put it in empty knowledge base of DDTRES to capture complete rule-based expert system which can produce advices in that medical field. The proposed system is developed and implemented using visual PROLOG programming language ver. 7.1.
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The use of expert systems in different organizations can speed-up of human professional work. Expert System (ES) is one of the common application of Artificial Intelligence (AI) has focus on the construction of high performance programs in specific professional domain. In this paper we introduce a tool for constructing rule-based expert system called DDTRES (Diagnosis Domain Tool for Rule-based Expert System), this tool provide variety of functions to facilitate the development of expert systems for practical problems in different diagnosis domain. The DDTRES consists of four components: end-user interface, inference engine, explanation facility, and empty knowledge base. We proposed also an intelligent agent for data mining to extract set of rule from medical dataset and put it in empty knowledge base of DDTRES to capture complete rule-based expert system which can produce advices in that medical field. The proposed system is developed and implemented using visual PROLOG programming language ver. 7.1.
Key concepts: Expert system, Legal expert system, Prolog, Inference engine, Computer science, Subject-matter expert, Rule-based system, Knowledge base