Pathfinding in Games

A. Botea, B. Bouzy, M. Buro, C. Bauckhage, Dana S. Nau
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引用次数: 35

Abstract

Commercial games can be an excellent testbed to artificial intelligence (AI) research, being a middle ground between synthetic, highly abstracted academic benchmarks, and more intricate problems from real life. Among the many AI techniques and problems relevant to games, such as learning, planning, and natural language processing, pathfinding stands out as one of the most common applications of AI research to games. In this document we survey recent work in pathfinding in games. Then we identify some challenges and potential directions for future work. This chapter summarizes the discussions held in the pathfinding workgroup.
游戏中的寻径
商业游戏可以成为人工智能(AI)研究的绝佳测试平台,介于综合的、高度抽象的学术基准和现实生活中更复杂的问题之间。在许多与游戏相关的AI技术和问题中,如学习、计划和自然语言处理,寻径是AI研究在游戏中最常见的应用之一。在本文中,我们将调查最近在游戏寻径方面的工作。然后,我们确定了未来工作的一些挑战和潜在方向。本章总结了寻路工作组的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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