Pēc būtības Vatsons ir tikai glorificēts meklēšanas algoritms, un priekš tāda tas darbojas visai labi, man domāt. Šāda līmeņa performances pārsniegšana, šķiet, jau ir AGI-complete.

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Wasn't the Semantic Net supposed to solve this?

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Semantic network is necessary but not sufficient for general intelligence.

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I meant not for AGI, but for knowing that Toronto is in Canada.

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Given the extensive knowledge base they provided for Watson, it's hardly an error of finding the correct data (although I don't know if the knowledge organisation really formed a semantic network or just some tailored XML-like structure), most probably it's either a failure in inference/decision making caused by failure in language processing, or simply a generic glitch in the software.

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