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    Using Games for Benchmarking and Representing the Complete Solution Space using Symbolic Techniques

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    Games often are inherently multi-valued problems and their wide variety offers different graduations of complexity. Moreover a lot of games have a parameter, like boardsize that allows to generate differently sized instances of the same problem. All this makes them perfectly suitable for benchmarking in the multi-valued domain. So far the lack of benchmarks in this area often was compensated by transferring problems from binary to multi-valued, but for several application domains this is not adequate
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