A Look Into Expert Systems

     Expert systems are systems that mimic human decision making skills. They make decisions such as an expert would do to make jobs and tasks easier. Expert Systems came around in the 1970's. They can also be considered a form of Artificial Intelligence. An expert system works by the user putting the information into the user interface. This this causes the system to go and try to seek out the appropriate data. The inference engine and the knowledge acquisition tool work together to find the information needed for the decision. Once the information is found it is analyzed and the put into knowledge base. That information is then turned around and put back onto the user interface so that the user can view the results of the systems find.

     The technological components of expert systems are knowledge base, inference engine, user interface, and knowledge acquisition tools. The knowledge base components function is to store all the information available for the expert system. The inference engine helps the system to make decision and assume the output. User interface is what makes it easy for the user to use the system and easily maneuver through the system. The knowledge acquisition tool is used to actually go out and get the knowledge that would need to be used for the decision making.

      An expert system can contribute to business world in many ways. The whole idea of an easier decision making tool is a plus. Expert systems are created to make decisions using knowledge. This is designed to be a replica of what the experts do. This could cause information to be shared fast, easier, and even over more Medias. Expert systems can also have a better type of control or filter over the information searched for, which would be an asset to knowledge Management. The major challenge would be that virtually they are not human.