These are the important types of Knowledge Representation in AI. Heuristic Knowledge – This represents some expert knowledge in the field or subject. Meta Knowledge – Meta Knowledge defines knowledge about other types of Knowledge. Procedural Knowledge – This is responsible for knowing how to do something and includes rules, strategies, procedures, etc. Structural Knowledge – It is a basic problem-solving knowledge that describes the relationship between concepts and objects. Now that you know about Knowledge representation in AI, let’s move on and know about the different types of Knowledge.ĭeclarative Knowledge – It includes concepts, facts, and objects and expressed in a declarative sentence. The different kinds of knowledge that need to be represented in AI include: Knowledge representation in AI is not just about storing data in a database, it allows a machine to learn from that knowledge and behave intelligently like a human being. Knowledge Representation and Reasoning ( KR, KRR) represents information from the real world for a computer to understand and then utilize this knowledge to solve complex real-life problems like communicating with human beings in natural language. One of the primary purposes of Knowledge Representation includes modeling intelligent behavior for an agent. Basically, it is a study of how the beliefs, intentions, and judgments of an intelligent agent can be expressed suitably for automated reasoning. Knowledge Representation in AI describes the representation of knowledge.
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