RE-ENGINEERING EXPERT SYSTEM POWERED BY MACHINE LEARNING

This paper explores an approach to building an adaptive expert system and machine learning power many technologies today related to online education system to health care system in an environment of human-computer collaboration. Components of an adaptive system are identified, with an emphasis on the mechanisms that enable adaptive behavior to occur. Knowledge representation in a rule-based, object-orientated expert system is described through the establishment of appropriate relationships utilizing heuristic rules, objects, and agents. The experimental expert system with machine learning displays low level learning capabilities that show sufficient promise to warrant further research.

Keywords: Expert System, Machine Learning, Knowledge Representation, Objects, Powered, Human-Computer Collaboration.