Expert systems are used to solve specific domain problems and each step of reasoning for a specific problem is determined by the human expert professionally. They allow a computer program to use expertise to assist in a variety of problems, such as diagnosing equipment failures and designing new equipment.
They have built on many years of work in artificial intelligence (Al) on problem solving, and have become a commercially successful demonstration of the power of Al.
After expert systems have moved out of research laboratories during early 1980s, they became more popular and found several application fields such as engineering, chemistry, medicine, industry, and many others.
The knowledge of an expert system consists of facts and heuristics. The "facts" constitute a body of information that is widely shared, publicly available, and generally agreed upon by experts in a field. The "heuristics" are mostly private, little-discussed rules of good judgment (rules of plausible reasoning, rules of good guessing) that characterize expert-level decision making in the field.
Expert system
