几何之友游戏AI竞赛

R. Prada, Phil Lopes, João Catarino, Joao Quiterio, Francisco S. Melo
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引用次数: 29

摘要

本文描述了一种新的游戏AI竞赛,该竞赛吸引参与者为合作平台益智游戏创建代理。代理面临着在动态环境中行动的挑战,伴随着摩擦和重力,因为他们要协调行动来解决合作谜题。因此,智能体需要制定合作计划,以最有效的方式解决谜题,并协调行动,实时执行联合行动。比赛的核心是合作赛道,这需要开发两个不同的代理,但我们也为那些想要在没有合作复杂性的情况下制作代理基本技能的参与者提供了单人赛道。特别是,为了定义解决谜题的计划或定义在基于物理的游戏环境中运行良好的机制,理解关卡的拓扑结构。我们在多特蒙德举行的IEEE游戏计算智能会议上展示了2014年竞赛的结果,并讨论了一些未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The geometry friends game AI competition
This paper describes a new game AI competition that engages participants in the creation of agents for a cooperative platform puzzle game. The agents face the challenge of acting in a dynamic environment, with friction and gravity, as they coordinate actions to solve cooperative puzzles. Hence, agents need to devise cooperative plans to solve the puzzles in the most efficient way and to coordinate their actions to perform joint actions in real-time. The core of the competition is the cooperative track that requires the development of two distinct agents, but we also include a single player track for participants that want to craft the basic skills of the agent without the complexity of cooperation. In particular, to cope with understanding the topology of a level in order to define a plan for solving the puzzle or to define mechanisms to act well in the physics-based game environment. We present the results of the 2014 competition held at IEEE Conference on Computational Intelligence in Games, in Dortmund, and discuss some future directions of research.
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