Expert systems are a form of artificial intelligence (AI) whose purpose is to represent human experts’ decision-making processes. Expert systems have a knowledge base and rules of an information domain. Moreover, expert systems attempt to embody the accumulated knowledge of experts on a particular subject and apply it in a consistent manner to future decisions. Besides, expert systems pass better decisions than humans when encountered with routine decision-making processes.
Expert systems have two main components namely, the knowledge base and the inference engine. Expert systems may also have user interface components besides these two fundamental components.
- The knowledge base component contains the set of rules known by the expert system. And it codifies the knowledge of human experts in a series of “if/then” statements. Furthermore, the knowledge base contains hundreds or even thousands of assertive sections.
- The inference engine of the expert systems analyzes information in the established knowledge base to arrive at appropriate decision.
- User interface takes the users query in a human readable form, and passes it to the inference engine and further displays the results to the users. And it is the interface through which the users communicate with the expert systems.
the_cyberguy Answered question 09/09/2022