Knowledge representation and reasoning
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| - | '''Knowledge representation''' is an issue that arises in both [[cognitive science]] and [[artificial intelligence]]. In cognitive science it is concerned with how people store and process information. In | + | '''Knowledge representation''' (KR) is an area of [[artificial intelligence]] research aimed at representing knowledge in symbols to facilitate [[inference|inferencing]] from those [[knowledge]] elements, creating new elements of knowledge. The KR can be made to be independent of the underlying knowledge model or knowledge base system (KBS) such as a [[semantic network]]. |
| - | artificial intelligence (AI) the primary aim is to store knowledge so that programs can process it and achieve the verisimilitude of human intelligence. AI researchers have borrowed representation theories from cognitive science. | + | |
| == See also == | == See also == | ||
| * [[Commonsense knowledge base]] | * [[Commonsense knowledge base]] | ||
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Knowledge representation (KR) is an area of artificial intelligence research aimed at representing knowledge in symbols to facilitate inferencing from those knowledge elements, creating new elements of knowledge. The KR can be made to be independent of the underlying knowledge model or knowledge base system (KBS) such as a semantic network.
See also
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