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Application of behavior tree in AI design of MOBA games

机译:行为树在Moba游戏AI设计中的应用

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In e-sports, MOBA (Multiplayer Online Battle Arena) games occupy an important position. Its competitive features and game mechanics have been recognized and loved by players. Game AI (Artificial Intelligence) generally uses FSM (Finite State Machine) to achieve, but MOBA game players have higher requirements for Game AI. In order to satisfy players' game experience better, Game AI needs to be optimized. By analyzing the characteristics of MOBA games and the advantages of implementing hierarchical logic through behavior tree, this paper studies the role of behavior tree in the decision-making system of MOBA game AI design, so as to help game developers design games that meet the needs of players.
机译:在电子运动中,Moba(多人游戏在线战场)游戏占据了一个重要的地位。它的竞争特性和游戏机制已被球员认可和喜爱。游戏AI(人工智能)通常使用FSM(有限状态机)实现,但Moba游戏玩家对游戏AI的要求具有更高的要求。为了更好地满足玩家的游戏体验,需要优化游戏AI。通过分析Moba Games的特点和通过行为树实施分层逻辑的优势,本文研究了行为树在Moba Game AI设计决策系统中的作用,从而帮助游戏开发人员设计满足需求的游戏球员。

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