游戏AI中的进化协商方法

Gabriel Iuhasz, V. Munteanu, V. Negru
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引用次数: 1

摘要

随着现代游戏在图像上变得越来越复杂,赋予它们动画的人工智能水平也越来越高,所以游戏预算越大,我们就需要投入更多精力去完善AI。不幸的是,这些游戏中的许多ai都是独立的,彼此之间没有交流,它们不会为了提高自己的地位而进行谈判。目前的工作重点是分析现有的游戏类型,以建立AI实体之间可以实现的协商类型。此外,本文还提出了一种进化方法,该方法着重于实现这些实体之间的协商,并解决了具有离散值的多个协商项的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary Approach to Negotiation in Game AI
As modern games become more and more sophisticated graphically, so does the level of artificial intelligence that animates them thus, the larger the game budget, the more work is put into improving the AI. Unfortunately many of these games feature AIs that are standalone and do not communicate with each other, they do not try to negotiate in order to improve their individual standing. The current work focuses on analysing existing game types in order to establish types of negotiation that can be achieved between AI entities. Moreover, an evolutionary approach which focuses on achieving negotiation between these entities and tackles the problem of having multiple negotiation items with discrete values is presented.
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