AI-complete


Also found in: Wikipedia.

AI-complete

(artificial intelligence, jargon)
/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.
References in periodicals archive ?
Larry Hunter of the University of Colorado proposed biomedicine as a grand challenge for AI, as it is an AI-complete problem with some simplifying features and great potential for profound impact in science and society.