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Titlebook: Case-Based Reasoning Research and Development; 25th International C David W. Aha,Jean Lieber Conference proceedings 2017 Springer Internati

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Oracle RMAN Database Duplicationow the player level, we adapt the difficulty of the game dynamically providing better or worse Tetris pieces. Our experiments seem to confirm that this type of dynamic difficulty adjustment improves the satisfaction of the players.
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Case-Based Team Recognition Using Learned Opponent ModelsBR system recognizes opponent team behavior more accurately than using the learned models in isolation. Additionally, our CBR system demonstrated resilience to limited classification opportunities, noisy air combat scenarios, and high model error.
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Time Series and Case-Based Reasoning for an Intelligent Tetris Gameow the player level, we adapt the difficulty of the game dynamically providing better or worse Tetris pieces. Our experiments seem to confirm that this type of dynamic difficulty adjustment improves the satisfaction of the players.
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