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This survey explores Procedural Content Generation via Machine Learning (PCGML), defined as the generation of game content using machine learning models trained on existing content.
S. Wright, “Correlation and causation,” 1921
1921
Earlier work this paper cites.
L. E. Baum and T. Petrie, “Statistical inference for probabilistic functions of finite state markov chains,” Math. Statistics , vol. 37, no. 6, pp. 1554–1563, 1966
1966
Earlier work this paper cites.
D. Braben and I. Bell, “Elite,” 1984
1984
Earlier work this paper cites.
S. Miyamoto and T. Tezuka, “Super Mario Bros.” 1985
1985
Earlier work this paper cites.
S. Miyamoto and T. Tezuka, “Super mario bros. 2,” 1986
1986
Earlier work this paper cites.
Nintendo, “The Legend of Zelda,” 1986
1986
Earlier work this paper cites.
G. Yokoi and Y. Sakamoto, “Metroid,” 1986
1986
Earlier work this paper cites.
Capcom, “Mega Man,” 1987
1987
Earlier work this paper cites.
M. A. Turk and A. P. Pentland, “Face recognition using eigenfaces,” in CVPR . IEEE, 1991, pp. 586–591
1991
Earlier work this paper cites.
W. of the Coast, “Magic: The Gathering,” 1993
1993
Earlier work this paper cites.
E. J. Aarseth, Cybertext: Perspectives on ergodic literature . JHU Press, 1997
1997
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural Computing , 1997
1997
Earlier work this paper cites.
P. Weyhrauch, “Guiding interactive fiction,” Ph.D. dissertation, Carnegie Mellon University, 1997
1997
Earlier work this paper cites.
S. Fine, Y. Singer, and N. Tishby, “The hierarchical hidden markov model: Analysis and applications,” Machine learning , vol. 32, no. 1, pp. 41–62, 1998
1998
Earlier work this paper cites.
Y. LeCun, C. Cortes, and C. J. Burges, “The MNIST database of handwritten digits,” 1998
1998
Earlier work this paper cites.
D. D. Lee and H. S. Seung, “Learning the parts of objects by non-negative matrix factorization,” Nature , vol. 401, no. 6755, pp. 788–791, 1999
1999
Earlier work this paper cites.
M. Ankerst, M. M. Breunig, H.-P. Kriegel, and J. Sander, “Optics: ordering points to identify the clustering structure,” in SIGMOD , vol. 28, no. 2. ACM, 1999, pp. 49–60
1999
Earlier work this paper cites.
A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin, “Image analogies,” in SIGGRAPH . ACM, 2001, pp. 327–340
2001
Earlier work this paper cites.
K. O. Stanley and R. Miikkulainen, “Evolving neural networks through augmenting topologies,” Evolutionary Computation , vol. 10, pp. 99–127, 2002
2002
Earlier work this paper cites.
D. Graff, J. Kong, K. Chen, and K. Maeda, “English gigaword,” Linguistic Data Consortium , 2003
2003
Earlier work this paper cites.
P. Ribeiro, F. C. Pereira, B. Marques, B. Leitao, and A. Cardoso, “A model for creativity in creature generation.” in GAME-ON , 2003, p. 175
2003
Earlier work this paper cites.
R. Hunicke, M. LeBlanc, and R. Zubek, “Mda: A formal approach to game design and game research,” in AAAI Workshop on Challenges in Game AI , vol. 4, 2004, p. 1
2004
Earlier work this paper cites.
F.-F. Li, R. Fergus, and P. Perona, “One-shot learning of object categories,” Pattern Analysis and Machine Intelligence , vol. 28, no. 4, pp. 594–611, 2006
2006
Earlier work this paper cites.
W. Ching, S. Zhang, and M. Ng, “On multi-dimensional markov chain models,” Pacific Journal of Optimization , vol. 3, no. 2, 2007
2007
Earlier work this paper cites.
S. Bruckner and M. E. Gröller, “Style transfer functions for illustrative volume rendering,” in Computer Graphics Forum , vol. 26, no. 3, 2007, pp. 715–724
2007
Earlier work this paper cites.
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol, “Extracting and composing robust features with denoising autoencoders,” in Intl. Conf. on Machine Learning . ACM, 2008, pp. 1096–1103
2008
Earlier work this paper cites.
L.-Y. Wei, S. Lefebvre, V. Kwatra, and G. Turk, “State of the art in example-based texture synthesis,” in Eurographics 2009, State of the Art Report, EG-STAR . Eurographics Association, 2009, pp. 93–117
2009
Earlier work this paper cites.
F. Pereira, P. Norvig, and A. Halevy, “The unreasonable effectiveness of data,” IEEE Intelligent Systems , vol. 24, no. undefined, pp. 8–12, 2009
2009
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “Imagenet: A large-scale hierarchical image database,” in CVPR . IEEE, 2009, pp. 248–255
2009
Earlier work this paper cites.
J. Togelius, G. N. Yannakakis, K. O. Stanley, and C. Browne, “Search-Based Procedural Content Generation,” in Applications of Evolutionary Computation . Springer, 2010, pp. 141–150
2010
Earlier work this paper cites.
B. Entertainment, “StarCraft II,” 2010
2010
Earlier work this paper cites.
J. Togelius, G. N. Yannakakis, K. O. Stanley, and C. Browne, “Search-based procedural content generation: A taxonomy and survey,” Computational Intelligence and AI in Games, IEEE Transactions on , vol. 3, no. 3, pp. 172–186, 2011
2011
Earlier work this paper cites.
A. M. Smith and M. Mateas, “Answer set programming for procedural content generation: A design space approach,” Computational Intelligence and AI in Games, IEEE Transactions on , vol. 3, no. 3, pp. 187–200, 2011
2011
Earlier work this paper cites.
G. Smith, J. Whitehead, and M. Mateas, “Tanagra: Reactive planning and constraint solving for mixed-initiative level design,” IEEE Transactions on Computational Intelligence and AI in Games , no. 99, 2011
2011
Earlier work this paper cites.
G. N. Yannakakis and J. Togelius, “Experience-Driven Procedural Content Generation,” IEEE Transactions on Affective Computing , vol. 2, no. 3, pp. 147–161, 2011
2011
Cited alongside, same era.
2012
Cited alongside, same era.
K. Pulli, A. Baksheev, K. Kornyakov, and V. Eruhimov, “Real-time computer vision with opencv,” Commun. ACM , vol. 55, no. 6, pp. 61–69, Jun. 2012
2012
Cited alongside, same era.
Z. Ren, H. Yeh, and M. C. Lin, “Example-guided physically based modal sound synthesis,” ACM Transactions on Graphics (TOG) , vol. 32, no. 1, p. 1, 2013
2013
Cited alongside, same era.
N. Shaker, M. Shaker, and J. Togelius, “Ropossum: An authoring tool for designing, optimizing and solving cut the rope levels.” 2013
D. McFerran, “More than a million super mario maker levels have been uploaded in a week,” 2015. [Online]. Available: http://www.nintendolife.com/news/2015/09/more_than_a_million_super_mario_maker_levels_have_been_uploaded_in_a_week
2015
Later among the works it cites.
A. Canossa and G. Smith, “Towards a procedural evaluation technique: Metrics for level design,” FDG , 2015
2015
Later among the works it cites.
2015
Later among the works it cites.
A. Mordvintsev, C. Olah, and M. Tyka, “Inceptionism: Going deeper into neural networks,” Google Research Blog. Retrieved June , vol. 20, 2015
2015
Later among the works it cites.
J. Gow and J. Corneli, “Towards generating novel games using conceptual blending,” in AIIDE , 2015
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2013
Cited alongside, same era.
A. Liapis, G. N. Yannakakis, and J. Togelius, “Sentient sketchbook: Computer-aided game level authoring.” in FDG , 2013, pp. 213–220
2013
Cited alongside, same era.
G. N. Yannakakis, P. Spronck, D. Loiacono, and E. André, “Player modeling,” in Dagstuhl Follow-Ups , vol. 6. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2013
2013
Cited alongside, same era.
S. Dahlskog and J. Togelius, “Patterns as objectives for level generation,” in EvoApplications , 2013
2013
Cited alongside, same era.
A. Liapis, H. P. Martínez, J. Togelius, and G. N. Yannakakis, “Transforming exploratory creativity with delenox,.” in ICCC , 2013, pp. 56–63
2013
Cited alongside, same era.
J. Togelius, N. Shaker, S. Karakovskiy, and G. N. Yannakakis, “The Mario AI Championship 2009-2012,” AI Magazine , vol. 34, no. 3, pp. 89–92, 2013
2013
Cited alongside, same era.
J. Permar and B. Magerko, “A conceptual blending approach to the generation of cognitive scripts for interactive narrative,” in AIIDE , 2013
2013
Cited alongside, same era.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in Advances in Neural Information Processing Systems , 2014, pp. 2672–2680
2014
Cited alongside, same era.
2015
Later among the works it cites.
M. Treanor, A. Zook, M. P. Eladhari, J. Togelius, G. Smith, M. Cook, T. Thompson, B. Magerko, J. Levine, and A. Smith, “AI-based game design patterns,” in FDG , 2015
2015
Later among the works it cites.
N. Shaker, J. Togelius, and M. J. Nelson, Procedural Content Generation in Games: A Textbook and an Overview of Current Research . Springer, 2016
2016
Later among the works it cites.
J. Montgomery, “Machine learning in 2016: what does nips2016 tell us about the field today?” 2016, https://blogs.royalsociety.org/in-verba/2016/12/22/machine-learning-in-2016-what-does-nips2016-tell-us-about-the-field-today/
2016
Later among the works it cites.
I. Goodfellow, Y. Bengio, and A. Courville, “Deep learning,” 2016, book in preparation for MIT Press. [Online]. Available: http://www.deeplearningbook.org
2016
Later among the works it cites.
A. Summerville and M. Mateas, “Super Mario as a string: Platformer level generation via LSTMs,” DiGRA/FDG , 2016
2016
Later among the works it cites.
R. Jain, A. Isaksen, C. Holmgård, and J. Togelius, “Autoencoders for Level Generation, Repair, and Recognition,” in ICCC , 2016
2016
Later among the works it cites.
M. Guzdial, N. Sturtevant, and B. Li, “Deep static and dynamic level analysis: A study on infinite mario,” in Third Experimental AI in Games Workshop , vol. 3, 2016
2016
Later among the works it cites.
S. Snodgrass and S. Ontañón, “An approach to domain transfer in procedural content generation of two-dimensional videogame levels,” in AIIDE , 2016
2016
Later among the works it cites.
Hello Games, “No Man’s Sky,” 2016
2016
Later among the works it cites.
A. Summerville and M. Mateas, “Mystical tutor: A magic: The gathering design assistant via denoising sequence-to-sequence learning,” AIIDE , 2016
2016
Later among the works it cites.
M. Guzdial and M. Riedl, “Learning to blend computer game levels,” preprint arXiv:1603.02738 , 2016
2016
Later among the works it cites.
A. Summerville, M. Guzdial, M. Mateas, and M. Riedl, “Learning player tailored content from observation: Platformer level generation from video traces using LSTMs,” in AIIDE , 2016
2016
Later among the works it cites.
M. Milewicz, RoboRosewater . https://twitter.com/roborosewater?lang=en, 2016
2016
Later among the works it cites.
S. Snodgrass and S. Ontañón, “Controllable procedural content generation via constrained multi-dimensional Markov chain sampling,” in IJCAI , 2016, pp. 780–786
2016
Later among the works it cites.
S. Snodgrass and S. Ontanon, “Learning to generate video game maps using Markov models,” TCIAIG , 2016
2016
Later among the works it cites.
M. Gumin, “WaveFunctionCollapse,” GitHub repository , 2016, https://github.com/mxgmn/WaveFunctionCollapse
2016
Later among the works it cites.
Freehold Games, “The Caves of Qud,” 2016
2016
Later among the works it cites.
Arcadia-Clojure, “Proc Skater 2016,” 2016
2016
Later among the works it cites.
S. Lee, A. Isaksen, C. Holmgård, and J. Togelius, “Predicting Resource Locations in Game Maps Using Deep Convolutional Neural Networks,” in AIIDE . AAAI, 2016
2016
Later among the works it cites.
M. Guzdial and M. Riedl, “Game level generation from gameplay videos,” in AIIDE , 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
S. L. Ahmed Khalifa, Diego Perez-Liebana and J. Togelius, “General video game level generation,” in Genetic and Evolutionary Computation , 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
A. Summerville, J. R. Mariño, S. Snodgrass, S. Ontañón, and L. H. Lelis, “Understanding Mario: an evaluation of design metrics for platformers,” in Proceedings of the 12th International Conference on the Foundations of Digital Games . ACM, 2017, p. 8
2017
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E. Abraham and A. Parrish, “Semantic arithmetic,” 2017
2017
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T. N. Kipf and M. Welling, “Semi-supervised classification with graph convolutional networks,” 5th International Conference on Learning Representations , 2017
2017
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