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This type gives an idea about the other types of knowledge that are suitable for solving problem.Hence, it is also known as Shallow knowledge. In this type, the knowledge representation is based on the strategies to solve the problems through the experience of past problems, compiled by an expert.It provides the information based on a thumb rule, which is useful in guiding the reasoning process.Heuristic knowledge is based on thumb rule.Procedural knowledge directs the steps on how to perform something.It describes how a problem can be solved.Procedural knowledge derives the information on the basis of rules, strategies, agendas and procedure.

It provides all the necessary information about the problem in terms of simple statements, either true or false.The knowledge which is based on concepts, facts and objects, is termed as 'Declarative Knowledge'.Types of knowledge in AI Depending on the type of functionality, the knowledge in AI is categorized as:

So, the system specifically focuses on acquiring the domain knowledge.

In intelligent systems, domain is the main focused subject area.

Knowledge is an useful term to judge the understanding of an individual on a given subject.

The main objective of AI system is to design the programs that provide information to the computer, which can be helpful to interact with humans and solve problems in various fields which require human intelligence.

In any intelligent system, representing the knowledge is supposed to be an important technique to encode the knowledge.

Artificial intelligence is a system that is concerned with the study of understanding, designing and implementing the ways, associated with knowledge representation to computers.