ai-complete

AI-complete
 /A.I [email protected]'/, 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 (2002) to solve them have foundered on the amount of
   context information and `intelligence' they seem to require. See also
   {gedanken}.
    

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}.

   [{Jargon File}]

   (1995-04-12)