Explain alpha-beta pruning. Use examples.

Alpha-beta pruning is an altered version of the minimax algorithm, and it allows the removal of parts of the game tree that are useless to examine. With pruning, searching for a good move becomes more efficient. The main idea of alpha-beta pruning is that if one step is worse than the already examined other, it is pointless to examine the worse one further.

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