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→Goals: There is an explicit advantage of anytime algorithms that was not mentioned: for a fixed computing duration, the actual performance in the application ___domain becomes better. |
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Anytime algorithms are designed so that it can be told to stop at any time and would return the best result it has found so far.<ref name="Grass"/> This is why it is called an interruptible algorithm. Anytime algorithms also maintain the last result, so that if they are given more time, they can continue from where they left off to obtain an even better result.<ref name="Grass"/>
An interesting consequence of the anytime paradigm is that the algorithm
will automatically yield a better response for a fixed computing time frame as processing power increases over the years due to technological advances. In the same amount of real-world time, e.g., one second, the search depth can be deeper, increasing the likelihood of returning better results. Fixed-condition terminating algorithms, on the other hand, would give exactly the same response as before, but faster, not better.
== Decision trees ==
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