General Video Game Level Generation
General Video Game Level Generation
复制标题
一般视频游戏关卡生成
DOI：
10.1145/2908812.2908920
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
J. Togelius
中科院分区：
文献类型：
--
作者：
A. Khalifa;Diego Perez Liebana;S. Lucas;J. Togelius
本文提出了一般视频游戏关卡生成的框架和初步研究，即不仅为单个游戏生成关卡的问题，而且为指定范围内的任何游戏生成关卡的问题。虽然现有的关卡生成器是针对特定游戏量身定制的，但这一新的挑战要求生成器考虑游戏的约束和可供性，而这些约束和功能在生成器构建时甚至可能尚未设计。这里提出的框架建立在通用视频游戏人工智能框架（GVG-AI）和视频游戏描述语言（VGDL）的基础上，以便从与通用视频游戏竞赛相关的研究活动中获得协同效应。该框架也将成为本次竞赛新赛道的基础。除了框架之外，本文还提出了三种通用级别生成器以及它们质量的实证比较。
This paper presents a framework and an initial study in general video game level generation, the problem of generating levels for not only a single game but for any game within a specified range. While existing level generators are tailored to a particular game, this new challenge requires generators to take into account the constraints and affordances of games that might not even have been designed when the generator was constructed. The framework presented here builds on the General Video Game AI framework (GVG-AI) and the Video Game Description Language (VGDL), in order to reap synergies from research activities connected to the General Video Game Playing Competition. The framework will also form the basis for a new track of this competition. In addition to the framework, the paper presents three general level generators and an empirical comparison of their qualities.