Help


from Wikipedia
« »  
AI systems can solve very simple restricted versions of AI-complete problems, but never in their full generality.
When AI researchers attempt to " scale up " their systems to handle more complicated, real world situations, the programs tend to become excessively brittle without commonsense knowledge or a rudimentary understanding of the situation: they fail as unexpected circumstances outside of its original problem context begin to appear.
When human beings are dealing with new situations in the world, they are helped immensely by the fact that they know what to expect: they know what all things around them are, why they are there, what they are likely to do and so on.
They can recognize unusual situations and adjust accordingly.
A machine without strong AI has no other skills to fall back on.

2.054 seconds.