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Knowledge representation techniques are methods used to encode information about the world in a format that a computer system can utilize to solve complex tasks such as diagnosing a problem, understanding natural language, or planning. Common techniques include semantic networks, frames, ontologies, and rules. These techniques help in organizing and structuring knowledge to facilitate reasoning, inference, and decision-making in Artificial Intelligence systems. Ultimately, they aim to simulate human-like understanding and reasoning capabilities in machines.

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