2014-04-26 10:52:28 -04:00
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AI-complete
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2014-04-26 11:54:15 -04:00
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/AI k@mpleet'/ , adj. [MIT, Stanford: by analogy with NP-complete (see NP-
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)] Used to describe problems or subproblems in AI, to indicate that the
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solution presupposes a solution to the strong AI problem (that is, the
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synthesis of a human-level intelligence). A problem that is AI-complete is,
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in other words, just too hard. Examples of AI-complete problems are The
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Vision Problem (building a system that can see as well as a human) and The
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Natural Language Problem (building a system that can understand and speak a
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natural language as well as a human). These may appear to be modular, but
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all attempts so far (2003) to solve them have foundered on the amount of
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context information and intelligence they seem to require. See also
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gedanken.
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