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Unit formation planning in RTS game by using potential field and fuzzy integral

机译:使用潜在场和模糊积分的RTS游戏中的单位形成规划

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摘要

Unit formation planning and target of attack is the core of micro management in real time strategy (RTS) game. It is more complicated than macro management, such as building and unit production sequence. It consists of a great quantity of possibility. Multiple targets and the non-additive property of unit formation leads the micro-management remains a problem. Traditional tree searching or A∗ searching is unable to handle these two properties. They are time consuming in runtime and difficult to manage in the AI programming development as there are too many weightings and each of them will interact with the others. In this paper, we applied potential field, fuzzy measure and integral to solve the micro-management. Potential field is suitable for complicated and various environment with multiple targets. However, it does not consider non-additive property. We integrated it with fuzzy measure and integral to extend simple additive property to non-additive property and provide the ability to handle interaction among different targets.
机译:单位形成规划和攻击目标是实时战略(RTS)游戏中微管理的核心。它比宏观管理更复杂,如建筑和单位生产序列。它包括大量的可能性。单位形成的多个目标和非添加性能导致微管理仍然存在问题。传统树搜索或 * 搜索无法处理这两个属性。它们在运行时耗时,并且在AI编程开发中难以管理,因为有太多的权重,每个人都会与其他人互动。在本文中,我们应用了潜在的场,模糊测量和积分来解决微管理。潜在场适用于具有多个目标的复杂和各种环境。但是,它不考虑非添加性。我们将其与模糊测量和积分集成,以将简单的添加性能扩展到非添加性质,并提供处理不同靶标之间的相互作用的能力。

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