Which of the following represents knowledge as a set ofâ rules? A. Neural networks. B. Machine learning systems. C. Robotics. D. Expert systems. E. Genetic algorithms.

D. Expert systems

Explanation:

Artificial intelligence (AI) also known as machine learning can be defined as a branch of computer science which typically involves the process of using algorithms to build a smart computer-controlled robot or machine that is capable of performing tasks that are exclusively designed to be performed by humans or with human intelligence.

Artificial intelligence (AI) provides smarter results and performs related tasks excellently when compared with applications that are built using conventional programming.

Generally, there are two (2) main characteristics of artificial intelligence (AI) systems and these include;

I. Non-algorithmic processing.

II. Symbolic processing.

In artificial intelligence (AI), the field of expert systems is the most important applied area because it models human knowledge.

Hence, expert systems represents knowledge as a set of rules.

Although, all expert systems are generally lacking in human capabilities and can only use inference procedures to proffer solutions to specific problems that would normally require human expertise or competence.

Some of the areas where expert systems can be applied are; monitoring, diagnosis, scheduling, classification, design, process control, planning, etc.

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