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 (1999) to solve them have foundered on the amount of context information and `intelligence' they seem to require. See also gedanken.