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Reversi
Labaj, Tomáš ; Jurka, Pavel (referee) ; Rozman, Jaroslav (advisor)
In this bachelor thesis present the problematic of an Artificial Intelligence and its usage for the board game Reversi is described. The best solution for this type of application is "minimax" method. To avoid redundant seeking through status field it is better to use some kind of limitations, e. c. Alpha-Beta method. Both methods are also described in this thesis. Second part is focused on self- learning computer algorithms (the ways how computer can improve his turn after unsuccessful one).
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Manager for Board Games
Kusák, Jiří ; Jurka, Pavel (referee) ; Rozman, Jaroslav (advisor)
The main goal of this work is to design and realize an application for managing two programs playing against each other. At the beginning I'm discussing board games (especially their rules) and player's skill rating systems. Then there is short analysis of the actual situation in this area. Fundamental part of the work is the description of the designing and realization of the manager. After that there is short description how to control the application. In the end I'm evaluating achieved results and proposing additional directions for the program development.
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Manager for Board Games
Kusák, Jiří ; Jurka, Pavel (referee) ; Rozman, Jaroslav (advisor)
The main goal of this work is to design and realize an application for managing two programs playing against each other. At the beginning I'm discussing board games (especially their rules) and player's skill rating systems. Then there is short analysis of the actual situation in this area. Fundamental part of the work is the description of the designing and realization of the manager. After that there is short description how to control the application. In the end I'm evaluating achieved results and proposing additional directions for the program development.
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|
Reversi
Labaj, Tomáš ; Jurka, Pavel (referee) ; Rozman, Jaroslav (advisor)
In this bachelor thesis present the problematic of an Artificial Intelligence and its usage for the board game Reversi is described. The best solution for this type of application is "minimax" method. To avoid redundant seeking through status field it is better to use some kind of limitations, e. c. Alpha-Beta method. Both methods are also described in this thesis. Second part is focused on self- learning computer algorithms (the ways how computer can improve his turn after unsuccessful one).
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