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Understanding Knowledge Representation In AI
We humans have been blessed with wonderful abilities like understanding, able to process information, analyzing, questioning & reasoning. The capabilities of Human intelligence are far superior to any other thing in the world. Have you ever wondered how machines could do all these things under knowledge representation and reasoning? Let’s get a clear understanding about Knowledge Representation in AI.
Knowledge representation and reasoning is an advanced concept in Artificial intelligence. It is mainly related to the thinking abilities of AI agents and how this thinking can contribute to intelligent behavior of agents. Knowledge representation doesn’t simply relate to storing data into some database, It is more focused on making machines evolve based on the knowledge and experiences just like our humans.
What to Represent?
The different types of knowledge which AI systems requires are
Object- Should have knowledge of all the facts about objects in our world domain
Events- Events are the actions which occur in our world
Performance- It involves knowledge related to how to perform things or activities
Meta-knowledge- It relates to ideas or knowledge which we know
Facts- Facts about the real-world
Different Types Of Knowledge In AI-
Now, let’s understand about the different types of knowledge in AI systems
- Declarative Knowledge
This summarizes concepts, facts, and objects which are expressed in a declarative sentence.
- Structural Knowledge
This is more related to problem-solving knowledge. It elevates the differences or relation between the concepts and objects.
- Procedural Knowledge
This includes set of rules, strategies, procedures, etc that state how to do something.
- Meta Knowledge
This is related to all the other types of Knowledge.
- Heuristic Knowledge
This represents some expert knowledge in the field or subject.
These five types of knowledge are among the most important types of Knowledge Representation in AI.
Understanding The Relation Between Knowledge & Intelligence:
The fact is that, having a precise knowledge of real-world is very crucial for intelligence and is also crucial towards creating Artificial Intelligence. The extent of intelligence in AI agents is mainly determined by knowledge. Simply, an AI agent can accurately function according to the given input only when it is having some knowledge or experience about that input.
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