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Turing completeness refers to a language, while NP-completeness refers to an optimization problem.

So for it to be turing complete you first need to define a language based on tetris. For NP-completeness, it might just be solving the game.




Sorry to nitpick your nitpicking, but NP-completeness refers to decision problems (does there exist a solution with parameter k); optimization problems are often NP-Hard (find the minimum parameter k for which the decision problem has a solution).


You're right, sorry about the lack of precision




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