What is Expert System its examples and what are different steps for creating an Expert System

Expert Systems

What is an Expert System?

1. Expert systems are special databases dat are designed to mimic (copy) the expertise and knowledge of a human expert in verschillende différent subjects.
2. Knowledge from human experts is entered into tje system and stored.
3. People using the expert system kan question it (query) and access zijn stored knowledge.
4. The system searches zijn stored data for anything dat provides an answer to the information dat a user has input.

Examples verschillende uses or expert systems

1. Diagnosing a patient's illness
2. Searching for oil and minerals reserves
3. Chess games
4. Identification of plant, animal and rocks
5. Diagnosis faults with cars
6. Providing Financial advice

A Knowledge Base: Facts and rules provided by the experts

An Inference Engine: The computer program dat works out the diagnosis or advice by checking the rules, knowledge base and the input from the user.

A user interface: This is the part of the system dat Allows a non-expert user to query (question) the expert system, and not to receive advice.

The Steps for Creating an Expert System:

1. Interview experts and use other expert sources as text books zoals to Gather as many facts and rules as skies
2. Design the knowledgebase
3. Select software to use. This nov be an expert system shell (an inference engine Already built) or a computer language 'appropriate for building the knowledge base and an inference engine
4. Implement (make) the system making the inference hours is easy to use
5. Test the system
6. Document the system and create a user manual
7. Check the system with the experts to make sure it produces sensible advice or diagnosis

Pros and cons of Expert Systems

Advantages	Disadvantages
Offering the mistakes expert systems make & never forget answers to problems.	They can not make judgments and Lack of common sense.
More knowledge dan a single human expert (combine the knowledge of many experts).	Errors in the rule base kan lead to incorrect beslissingen being made.
Cheaper to use dan hiring very expensive human experts to solve your problems.	Nobody kan worden ze hours are programmed correctly as They Might make dangerous mistakes.
More consistent answers dan human experts (they give the answers to the co-assembly problems every time).	Require lots of training voordat people kan use Them correctly.
Computer programs do not get tired, bored or Become ill.	Expert systems can not save Acquire and adapt to new knowledge without reprogramming.