Expert System

 An expert system is a computer program that is designed to solve complex problems and to provide decision-making ability like a human expert. It is considered at the most elevated level of human knowledge and mastery. The reason for a specialist framework is to unravel the most complex problems arising in any particular domain. The Expert System in AI can resolve many issues which generally would require a human expert. It is based on knowledge acquired from an expert. Artificial Intelligence and Expert Systems are capable of expressing and reasoning about some domain of knowledge. 

Examples of Expert Systems:

Following are the some Expert System Examples:

• DENDRAL: Expert system used for chemical analysis to predict molecular structure.
• PXDES: An Example of Expert System used to predict the degree and type of lung cancer.
• CaDet: One of the best Expert System Example that can identify cancer at early stages.

 Important Characteristics of Expert System in AI:

• Good Reliability: The Expert system in AI needs to be reliable, and it must not make any a mistake.

 

• The Highest Level of Expertise: The Expert system in AI offers the highest level of expertise. It provides efficiency, accuracy and imaginative problem-solving.

• Right on Time Reaction: An Expert System in Artificial Intelligence interacts in a very reasonable period of time with the user. The total time must be less than the time taken by an expert to get the most accurate solution for the same problem.

• Flexible: It is vital that it remains flexible as it the is possessed by an Expert system.

• Effective Mechanism: Expert System in Artificial Intelligence must have an efficient mechanism to administer the compilation of the existing knowledge in it.

• Capable of handling challenging decision & problems: An expert system is capable of handling challenging decision problems and delivering solutions.

Advantages of Expert Systems:

·         Expert Systems are easily available as they are not so difficult to develop and are thus easier to reproduce.

·         Increased accuracy is a prominent advantage of Expert Systems.

·         They can be of use at workstations where there is a risk to human lives.

·         They can be made to work 24×7 without the need for any human intervention.

·         Expert Systems offer a very speedy decision-making process which in most cases is error-free.

 

Limitations of Expert Systems:

·         Unlike humans, it is not capable of providing an out of the box solution for problems

·         Its judgment is based solely on the information being stored in the knowledge base. Any discrepancy in the information can lead to flawed decision making.

·         The cost required for the maintenance of these systems is quite hefty.