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Angry-HEX: An Artificial Player for Angry Birds Based on Declarative Knowledge Bases

机译:Angry-HEX:基于声明性知识库的“愤怒的小鸟”人工玩家

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This paper presents the Angry-HEX artificial intelligent agent that participated in the 2013 and 2014 Angry Birds Artificial Intelligence Competitions. The agent has been developed in the context of a joint project between the University of Calabria (UniCal) and the Vienna University of Technology (TU Vienna). The specific issues that arise when introducing artificial intelligence in a physics-based game are dealt with a combination of traditional imperative programming and declarative programming, used for modeling discrete knowledge about the game and the current situation. In particular, we make use of HEX programs, which are an extension of answer set programming (ASP) programs toward integration of external computation sources, such as 2-D physics simulation tools.
机译:本文介绍了参加2013年和2014年愤怒的小鸟人工智能竞赛的Angry-HEX人工智能代理。该代理是在卡拉布里亚大学(UniCal)与维也纳工业大学(TU Vienna)的联合项目的背景下开发的。在基于物理的游戏中引入人工智能时出现的特定问题,是通过将传统的命令式编程和声明式编程结合起来使用的,这些命令式建模用于对有关游戏和当前情况的离散知识进行建模。特别是,我们使用HEX程序,它是答案集编程(ASP)程序的扩展,用于集成外部计算源,例如2-D物理模拟工具。

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