A Multi-intelligent Agent System for Automatic Construction of Rule-based Expert System
Mohammed Abbas Kadhim, M. Afshar Alam, Harleen Kaur · International Journal of Intelligent Systems and Applications · 2016
The main general purpose of this research is the automatic construction of rule-based expert system in diagnosis domain based on an expert system tool and a multi-intelligent agent system.The first goal is used an expert system tool (shell) which is called Diagnosis Domain Tool for Rule-based Expert System (DDTRES) [1].The second goal is used a multi-intelligent agent architecture for knowledge extraction to elicit knowledge from its resources (domain experts, text documents, databases) for automatic construction of a knowledge base.That means, instead of using traditional methods for knowledge base construction, we used automatic way for that job.In order to achieve second objective, the following agents have been used: The Expert Mining Intelligent Agent (EMIA), The Text Mining Intelligent Agent (TMIA) [2], and The Multi-Intelligent Agent for Knowledge Discovery in Database (MIAKDD) [3].We are aim to produce an effective final knowledge base by cooperation between EMIA, TMIA, and MIAKDD approaches and integrated with the diagnosis domain tool (DDTRES) to produce a complete rule-based expert system in diagnosis domain.We applied the captured rule-based expert system on heart diseases diagnosis, we found system performance is between a good and a very good range.