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SOMA Swarm Algorithm in Computer Games

2016; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-39384-1_34

1611-3349

Ivan Zelinka, Michal Bukáček,

Evolutionary Algorithms and Applications

This participation is focused on artificial intelligence techniques and their practical use in computer game. The aim is to show how game player (based on evolutionary algorithms) can replace a man in two computer games. The first one is strategy game StarCraft: Brood War, briefly reported here. Implementation used in our experiments use classic techniques of artificial intelligence environments, as well as unconventional techniques, such as evolutionary computation. The second game is Tic-Tac-Toe in which SOMA has also take a role of player against human player. This provides an opportunity for effective, coordinated movement in the game fitness landscape. Research reported here has shown potential benefit of evolutionary computation in the field of strategy games and players strategy mining based on their mutual interactions.