General video game rule generation
General video game rule generation
复制标题
通用视频游戏规则生成
DOI:
10.1109/cig.2017.8080431
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发表时间:
2017
期刊:
影响因子:
--
通讯作者:
Togelius, Julian
中科院分区:
文献类型:
--
作者:
Khalifa, Ahmed;Green, Michael Cerny;Perez-Liebana, Diego;Togelius, Julian
We introduce the General Video Game Rule Generation problem, and the eponymous software framework which will be used in a new track of the General Video Game AI (GVGAI) competition. The problem is, given a game level as input, to generate the rules of a game that fits that level. This can be seen as the inverse of the General Video Game Level Generation problem. Conceptualizing these two problems as separate helps breaking the very hard problem of generating complete games into smaller, more manageable subproblems. The proposed framework builds on the GVGAI software and thus asks the rule generator for rules defined in the Video Game Description Language. We describe the API, and three different rule generators: a random, a constructive and a search- based generator. Early results indicate that the constructive generator generates playable and somewhat interesting game rules but has a limited expressive range, whereas the search- based generator generates remarkably diverse rulesets, but with an uneven quality.
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DOI:
10.1109/tciaig.2011.2166267
发表时间:
2011
影响因子:
--
作者:
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发表时间:
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期刊:
International Conference on Innovative Computing and Cloud Computing
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DOI:
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发表时间:
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期刊:
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影响因子:
--
作者:
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DOI:
10.1109/cig.2015.7317941
发表时间:
2015
期刊:
2015 IEEE Conference on Computational Intelligence and Games (CIG)
影响因子:
--
作者:
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通讯作者:
M. Nelson