AI-complete

[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 (2003) to solve them have foundered on the amount of context information and `intelligence' they seem to require. See also {gedanken}.

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