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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.
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