AI-complete

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 (1993) to solve them have
   foundered on the amount of context information and `intelligence'
   they seem to require. See also {gedanken}.