[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 (2003) to solve them have foundered on the amount of
context information and `intelligence' they seem to require. See also
{gedanken}.
[glossary]
[Reference(s) to this entry by made by: {ELIZA effect}{gedanken}{smart}{visionary}]