This is a computer system designed to answer complex questions by breaking them down into smaller, independent statements. It then uses these statements to build a network of related information, like a map, by asking further questions and finding connections. The system keeps expanding this map until it finds a suitable answer, while also estimating how confident it is in that answer.
Why it matters: Filed before advanced large language models could perform complex inference. LLMs now excel at question answering and relation discovery, simplifying core components.
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