AI for massive multiplayer online strategy games

作者: Pedro A. Santos , Alexandre Barata , Rui Prada

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摘要: Massive Multiplayer Online Strategy games present several unique challenges to players and designers. There is the need constantly adapt changes in game itself and, sometimes, achieve a certain level of simulation realism, which typically implies battles involving combat with distinct armies, phases diferent terrains; resource management involves buying selling goods combining lots kinds resources fund player's nation cutthroat diplomacy dictates pace game. However, these constant mechanisms make harder play, increasing amount effort required play it properly. As some take months be played, who become inactive have negative impact on This work pretends demonstrate how create versatile agents for playing Turn Based Games, while keeping close attention their performance. In test measure this performance results showed similar survival between humans AIs.

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