TY - GEN
T1 - Audioinspace
T2 - 4th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2015
AU - Hoover, Amy K.
AU - Cachia, William
AU - Liapis, Antonios
AU - Yannakakis, Georgios N.
N1 - Funding Information:
Special thanks to Luke Aquilina for his contributions to development. This research 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).
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Computer games are unique creativity domains in that they elegantly fuse several facets of creative work including visuals, narrative, music, architecture and design. While the exploration of possibilities across facets of creativity offers 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 multifaceted game content generation, this paper introduces a multifaceted procedural content generation (PCG) approach that is based on the interactive evolution of multiple artificial 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 audiovisual and gameplay elements - showcase the capacity of multifaceted PCG and its evident potential for computational game creativity.
AB - Computer games are unique creativity domains in that they elegantly fuse several facets of creative work including visuals, narrative, music, architecture and design. While the exploration of possibilities across facets of creativity offers 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 multifaceted game content generation, this paper introduces a multifaceted procedural content generation (PCG) approach that is based on the interactive evolution of multiple artificial 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 audiovisual and gameplay elements - showcase the capacity of multifaceted PCG and its evident potential for computational game creativity.
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U2 - 10.1007/978-3-319-16498-4_10
DO - 10.1007/978-3-319-16498-4_10
M3 - Conference contribution
AN - SCOPUS:84925276406
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 101
EP - 112
BT - Evolutionary and Biologically Inspired Music, Sound, Art and Design - 4th International Conference, EvoMUSART 2015, Proceedings
A2 - Carballal, Adrian
A2 - Correia, João
A2 - Johnson, Colin
PB - Springer Verlag
Y2 - 8 April 2015 through 10 April 2015
ER -