Evolving Flying Machines in Minecraft Using Quality Diversity

被引:1
|
作者
Medina, Alejandro [1 ]
Richey, Melanie [1 ]
Mueller, Mark [1 ]
Schrum, Jacob [1 ]
机构
[1] Southwestern Univ, Georgetown, TX 78626 USA
关键词
Minecraft; Quality Diversity; MAP-Elites; CONTENT GENERATION;
D O I
10.1145/3583131.3590352
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Minecraft is a great testbed for human creativity that has inspired the design of various structures and even functioning machines, including flying machines. EvoCraft is an API for programmatically generating structures in Minecraft, but the initial work in this domain was not capable of evolving flying machines. This paper applies fitness-based evolution and quality diversity search in order to evolve flying machines. Although fitness alone can occasionally produce flying machines, thanks in part to a more sophisticated fitness function than was used previously, the quality diversity algorithm MAP-Elites is capable of discovering flying machines much more reliably, at least when an appropriate behavior characterization is used to guide the search for diverse solutions.
引用
收藏
页码:1418 / 1426
页数:9
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