What is Knowledge Representation:-
Humans are very good at understanding and reasoning. Humans know which knowledge is suitable for their knowledge. But how will the machine do all these things under knowledge representation and reasoning?
Generally, in knowledge representation algorithms, people tend to think that with the aid of some complex thinking, it is just related to making decisions. But is much more than this, knowledge representation in AI helps AI agents in solving complicated issues in the real world in very little time.
This is how we can explain Knowledge representation in the following ways –
Types of Knowledge Representation-:
Although we can encounter a few primary types of knowledge representation block, including declarative and structural, in a broad way, below are the types of knowledge representative:
These were all important types of knowledge representation in AI. Let us now see more about the Cycle of Knowledge representation and how it works.
What is the Cycle of Knowledge Representation in AI?
Mostly many types of Artificial Intelligent systems show various components to their intelligent behavior.
So, these are the vital components of the Cycle of Knowledge Representation in AI.
Why is Artificial intelligence so important?
AI is so crucial because, with the arrival of AI, human beings got a lot of help. Because now machines think and understand like a human brain and make people work easier. A human cannot work 24*7 but a machine can. There is a lot of Capability inside the machine.
Features of AI are-:
Use of Knowledge Representation in AI Systems
The method which is followed by AI, explains the role of knowledge representation in its system.
Conclusion
The knowledge representation approach is much more suitable when artificial intelligent performance singularly depends on explicitly represented knowledge. Though if the system fails to contemplate what it has defined explicitly in the most effective way, alone knowledge representation is not able to solve anything, by combining with AI it helps to explore much more comprehended solutions.
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