ai-complete /a-i km-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.


see also:
np- gedanken 

ai-complete
     
         /a-i km-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
     
     
see also:
np-complete artificial intelligence gedanken jargon file