Adaptive situation-based learning of a dribbling behavior in RoboCup

Christoph Kattmann
In order to test and rate any algorithm, test problems, called benchmarks, are needed. Sorting algorithms are evaluated using random or in some way presorted datasets to understand their performance in different scenarios. The same has to be done with algorithms in artificial intelligence. For algorithms which try to simulate human thinking in general, the most famous benchmark is the Turing test, in which the system has to fool a user who is asking questions...
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