What are Expert System?

What are Expert System?

An expert system is computer software that can handle complex issues and make decisions the same way a human expert can. It pulls knowledge from its knowledge base based on the user's queries, employing reasoning and inference procedures.

The expert system is a type of AI, and the first ES was created in 1970, making it the first successful artificial intelligence approach. An expert solves the most difficult problems by extracting knowledge from their knowledge base. Like a human expert, the system assists in complex problems by employing facts and heuristics. It is so named because it comprises expert knowledge of a certain subject and can solve any complex problem in that domain. These systems are tailored to a particular field, medicine or science.

An expert system's performance is determined by the knowledge stored in its knowledge base by the expert. The more knowledge stored in the KB, the better the system performs. When typing in the Google search box, one of the most common examples of an ES is a suggestion of spelling problems.

Here are a few popular Expert System examples:

  • DENDRAL: It was a chemical analysis expert system created with artificial intelligence. It was used in organic chemistry to detect unknown organic compounds using mass spectra and a chemistry knowledge base.
  • MYCIN: One of the first backward chaining expert systems created to identify bacteria that cause illnesses like bacteremia and meningitis. It was also used to make antibiotic recommendations and diagnose blood coagulation disorders.
  • PXDES: This is an expert system for determining the kind and stage of lung cancer. It takes a photo of the upper body, which looks like a shadow, to determine the condition. This shadow denotes the nature and severity of the harm.
  • CaDeT: CaDet is a diagnostic support system that can detect cancer in its early stages.