MACHINE LEARNING

Detailed explanation-1: -In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.

Detailed explanation-2: -Knowledge-based systems are computerized systems that emulate human reasoning. Such systems are built with specific knowledge in certain domains of application, and operate in a way similar to that of a human expert.

Detailed explanation-3: -Knowledge-based systems (KBSes) are computer programs that use a centralized repository of data known as a knowledge base to provide a method for problem-solving. Knowledge-based systems are a form of artificial intelligence (AI) designed to capture the knowledge of human experts to support decision-making.

Detailed explanation-4: -The expert system is a part of AI, and the first ES was developed in the year 1970, which was the first successful approach of artificial intelligence. It solves the most complex issue as an expert by extracting the knowledge stored in its knowledge base.