Introduction to Expert Systems in Artificial Intelligence

An Expert system is a domain in which Artificial Intelligence stimulates the behavior and judgement of a human or an organisation containing experts. It acquires relevant knowledge from its knowledge base, and interprets it as per the user’s problem. The data in the knowledge base is essentially added by humans who are experts in a particular domain. However, the software is used by non-experts to gain information. It is used in various areas of medical diagnosis, accounting, coding, gaming and more.
Artificial intelligence
Breaking down an expert system, essentially is an AI software that uses knowledge stored in a knowledge base to solve problems. This usually requires a human expert, and thus, it aims at preserving human expert knowledge in its knowledge base. Hence, expert systems are computer applications developed to solve complex problems in a particular domain, at an extraordinary level of human intelligence and expertise.

The Three C’s of ES
Characteristics of Expert Systems

They have high-performance levels
They are easy to understand
They are completely reliable
They are highly responsive
Capabilities of Expert Systems

The expert systems are capable of a number of actions including:

Advising
Assistance in human decision making
Demonstrations and instructions
Deriving solutions
Diagnosis
Interpreting inputs and providing relevant outputs
Predicting results
Justification of conclusions
Suggestions for alternative solutions to a problem
Components/ Architecture of Expert Systems