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Titlebook: Advances in Computer Games; 17th International C Cameron Browne,Akihiro Kishimoto,Jonathan Schaeffe Conference proceedings 2022 Springer Na

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https://doi.org/10.1007/978-1-84628-810-4ing computer programs to play games like Chess and Go exist for Sylver Coinage as well. However, unlike Chess and Go, working towards finding an optimal strategy in the game of Sylver Coinage presents some new and interesting challenges. We attempt to make some headway on the problems associated wit
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Franco Denti,Luigi Allegra,Francesco Blasiing game positions. Model interpretability in such agents is problematic. We evaluate the applicability and effectiveness of several saliency-map-based methods for improving the interpretability of a deep neural network trained for evaluating game positions, using the game of Breakthrough as our tes
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F. Blasi,R. Cosentini,P. Tarsia .). These have the same coloring conditions as their partisan versions, but either player is allowed to use at any move a black or a white stone. For these two games similar strategies show that with both dimensions odd the first player can win, otherwise it is a second-player win. For both Linear
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and Atherosclerosis: Animal Modelsstones from opposite corners of an otherwise empty rectangle. Removing all stones wins the game. We show that it can be hard to determine whether a BoxOff puzzle is winnable: by reducing from Boolean Satisfiability, we show that BoxOff is NP-complete, even when only four colors are used.
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Naoyuki Miyashita,Akira MatsumotoChess endgame tables encode perfect information to inform heuristic search and permit error-free play once the root position is within them. We introduce a new approach to their minimization, and demonstrate better probe performance than the state-of-the-art.
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