Just because the game can be well described in terms of mathematical equations, that doesn't mean that that is the way we see it.
In fact the way humans see the game is much more efficient than the way that computers do.
Sometimes we really analise the game almost in the same way the computer do, just checking the position in a few moves ahead. But even when we do that, we do it much more objectively than the computer.
We use concepts much more complex than the the computer, something like, pawn structure, domain of the center, pieces coordination, closed position, etc.
Those concepts reduce the amount of computation dramatically. That is why the brain that only compute +-3 moves per second is still able to beat a machine that compute billions of moves per second.
Computers still have trouble with long term strategy. That is why they use a library of openings and end games.
If you play an opening by the book, the computer will follow the exact moves of his library and will not wast any time in the opening.
That is why sometimes people use an uncommon Opening (made up) to play against the computer, that will make the computer lose an extra time in the beginning.
Other tactic is to play extremely closed positions, that way the long term strategy have a bigger advantage.
A position like this one:
Black to play, white wins
Still require more than 1 hour for the computer to find the solution. (in a P3 1giga Hz with Fritz 7)
A lot of humans players that don't play near as good as the computer, are able to find the solution in less time.
The solution is not complex, it is simple, but it is long.
One big advantage that the computer have, is its cold blood. The computer will play very consistently all the game, even if he is under attack, or with one pawn less, or if is the final of a championship.
It won't even feel the difference. Is not uncommon to see players giving up in positions that later is found to be a draw. Even Kasparov gave up in a game with deep blue that was a technical draw. (
http://www.research.ibm.com/deepblue/home/may07/news_1.html)