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What is Knowledge Representation in AI Explained about?

Knowledge representation in AI is essential for storing and utilizing information to solve complex problems, involving various types of knowledge such as declarative, procedural, and meta-knowledge. The AI Knowledge Cycle includes stages like knowledge acquisition, representation, utilization, learning, validation, maintenance, and sharing, allowing systems to adapt and improve. Challenges in knowledge representation include complexity, ambiguity, scalability, and the need for effective reasoning and infere

Author

mayankarora2457

Language

EN