2 definitions found From Jargon File (4.3.1, 29 Jun 2001) [jargon]: AI-complete /A-I k*m-pleet'/ adj. [MIT, Stanford: by analogy with `NP-complete' (see {NP-})] Used to describe problems or subproblems in AI, to indicate that the solution presupposes a solution to the `strong AI problem' (that is, the synthesis of a human-level intelligence). A problem that is AI-complete is, in other words, just too hard. Examples of AI-complete problems are `The Vision Problem' (building a system that can see as well as a human) and `The Natural Language Problem' (building a system that can understand and speak a natural language as well as a human). These may appear to be modular, but all attempts so far (1999) to solve them have foundered on the amount of context information and `intelligence' they seem to require. See also {gedanken}. From The Free On-line Dictionary of Computing (27 SEP 03) [foldoc]: AI-complete/A-I k*m-pleet'/ (MIT, Stanford: by analogy with "{NP-complete}") A term used to describe problems or subproblems in {artificial intelligence}, to indicate that the solution presupposes a solution to the "strong AI problem" (that is, the synthesis of a human-level intelligence). A problem that is AI-complete is, in other words, just too hard. See also {gedanken}. [{Jargon File}] (1995-04-12)
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