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In this Knowledge Representation in Artificial Intelligencevideo by Simplilearn you will understand the brief on what is Knowledge Representation in AI and it will help you know What kind of knowledge to represent in AI. moving ahead we will cover topics like Types of knowledge and the AI knowledge cycle. Finally, we will discuss the Properties and Approaches of knowledge representation. Knowledge representation in AI aims to give computers a method to reason about the world, make choices, and resolve issues based on the information that is available to them.

This Knowledge Representation in Artificial Intelligence video will cover the following topic.

✅00:00- Knowledge Representation in Artificial Intelligence
✅03:24- What Is Knowledge Representation?
✅04:16- What Kind of Knowledge to Represent in AI
✅05:55- The Types of Knowledge
✅07:03- The AI Knowledge Cycle
✅08:35- Properties of Knowledge Representation.
✅09:38- The Approaches of Knowledge Representation

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✅Knowledge representation involves designing a formal approach to represent knowledge in a way a computer can process.


The important four ways of Knowlege Representation in AI are as follows
- Logical Representation
- Semantic Network Representation
- Frame Representation
- Production Rules

The various kinds of knowledge that AI needs to represent include:

-Object
-Event
-Performance
-Meta-knowledge
-Facts
-Knowledge base

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