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Introduction to Behavior Algorithms for Fighting Games

机译:格斗游戏行为算法简介

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The quality of opponent Artificial Intelligence (AI) in fighting videogames is crucial. Some other game genres can rely on their story or visuals, but fighting games are all about the adversarial experience. In this paper, we will introduce standard behavior algorithms in videogames, such as Finite-State Machines and Behavior Trees, as well as more recent developments, such as Monte-Carlo Tree Search. We will also discuss the existing and potential combinations of these algorithms, and how they might be used in fighting games. Since we are at the financial peak of fighting games, both for casual players and in tournaments, it is important to build and expand on fighting game AI, as it is one of the pillars of this growing market.
机译:对抗电子游戏中对手人工智能(AI)的质量至关重要。其他一些游戏类型也可以依靠他们的故事或视觉效果,但格斗游戏都与对抗性体验有关。在本文中,我们将介绍视频游戏中的标准行为算法,例如有限状态机和行为树,以及最近的发展,例如蒙特卡洛树搜索。我们还将讨论这些算法的现有和潜在组合,以及它们在战斗游戏中的使用方式。由于无论是对于休闲玩家还是在锦标赛中,我们都处于格斗游戏的财务高峰,因此,在格斗游戏AI上不断发展壮大非常重要,因为它是这一不断增长的市场的支柱之一。

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