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What is Knowledge Representation in AI Systems about?

Knowledge representation (KR) is the study of how knowledge about the world can be represented and the reasoning that can be performed with that knowledge. It involves encoding knowledge in intelligent systems to facilitate inferencing and requires a representation that is understandable by humans. Various representation schemes exist, including logical, procedural, network, and structured representations, each with its own properties and applications in artificial intelligence.

Author

9811765048yadav

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EN