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What is Understanding Knowledge-Based Agents in AI about?

Knowledge-based agents utilize internal knowledge to make decisions and reason effectively, while knowledge representation in AI involves expressing beliefs and judgments for automated reasoning. Various types of knowledge, such as declarative, structural, and procedural, can be represented using techniques like logical representation, semantic networks, frame representation, and production rules. Inference engines, employing forward and backward chaining, help derive new information from existing knowledge

Author

arpitamishra1730

Language

EN