Artificial Intelligence-Based Player for "Blokus" Game

This thesis compares forward neural networks with algorithms using game theory on basis of board game Blokus. The theoretical introduction part describes the characteristics of neural networks and work with them. There is also outlined algorithm of game theory. The second part deals about the implementation of players based on the outlined principles and shortly descriptions GUI of application. In conclusion, the differences between the players are evaluated on the charts created on the performed tests