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Visualization of alpha-beta game tree search : magistrsko delo
Emilija Taseva, 2019, diplomsko delo

Opis: Algorithms make up a crucial part of computer science studies. Learning and understanding new algorithms can be quite interesting, but also hard and complex, especially for students. Visualization can significantly help with the understanding of the dynamic behaviour of algorithms by visually displaying each step of the algorithm, its purpose and how it changes the data. Besides faster and more efficient learning, the better understanding can also lead to potential algorithm improvements in the future. The goal of this thesis is visualization of the alpha-beta tree search algorithm for determining the next optimal move in a two-player, zero-sum, complete information game. The algorithm is visualized using two games, Tic-Tac-Toe and Othello. The algorithm operation can also be demonstrated using a custom tree with parameters chosen by the user.
Ključne besede: algorithm visualization, minimax algorithm, alpha-beta pruning, adversarial search
Objavljeno v DKUM: 08.11.2019; Ogledov: 641; Prenosov: 54
.pdf Celotno besedilo (1,52 MB)

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