Bevor man untersucht, wie diese Leistung zu erbringen ist, taucht aber die Frage „war-um denn?“ auf. Was können wir vom Computer als Spieler lernen?ĭiese bewußt zweideutige Frage soll exostisches Randgebeit der Informatik einführen: die Kunst, Computer zum Spielen zu bringen. So, we may conclude that MCTS is a suitable tool forĪchieving a strong Settlers of Catan player.
Playing strength when compared to game implementation with existing Our results show that the agent has a considerable Show that MCTS can be adapted successfully to multi-agent environments,Īnd present two approaches of providing the agent with a limited amount That is able to play against computer-controlled and human players. Non-deterministic board game Settlers of Catan. In this paper we apply MCTS to the multi-player, Successful results with classical, two-player, perfect-information games Search (MCTS) is a recently published family of algorithms that achieved Investigating multi-player strategic decision making. Played by three or more people, which makes them suitable test beds for
Modern strategic board games can typically be Games are considered important benchmark opportunities for artificial
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