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Hraní hry The Duke počítačem
Horváth, Adrián ; Veigend, Petr (referee) ; Zbořil, František (advisor)
This thesis deals with the analysis of game strategies in the game "The Duke" using artificial intelligence (AI) algorithms. We compare three different approaches: minimax, alpha-beta pruning and Monte Carlo Tree Search (MCTS). We study the rules of the game, identify key factors affecting strategy, and perform an experimental comparison of the algorithms’ results. We summarize the results and discuss future research directions in game AI.

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