Computer games are unique creativity domains in that they
elegantly fuse several facets of creative work including visuals, narra-
tive, music, architecture and design. While the exploration of possibil-
ities across facets of creativity o ers a more realistic approach to the
game design process, most existing autonomous (or semi-autonomous)
game content generators focus on the mere generation of single domains
(creativity facets) in games. Motivated by the sparse literature on mul-
tifaceted game content generation, this paper introduces a multifaceted
procedural content generation (PCG) approach that is based on the in-
teractive evolution of multiple arti cial neural networks that orchestrate
the generation of visuals, audio and gameplay. The approach is evaluated
on a spaceship shooter game. The generated artifacts|a fusion of audio-
visual and gameplay elements | showcase the capacity of multifaceted
PCG and its evident potential for computational game creativity.This re-search is supported, in part, by the FP7 ICT project C2Learn (project no:
318480) and by the FP7 Marie Curie CIG project AutoGameDesign (project
no: 630665).peer-reviewe
