{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T13:03:18Z","timestamp":1785416598049,"version":"3.56.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,17]]},"DOI":"10.1109\/cog52621.2021.9619018","type":"proceedings-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T20:53:06Z","timestamp":1638910386000},"page":"01-08","source":"Crossref","is-referenced-by-count":11,"title":["Fast Game Content Adaptation Through Bayesian-based Player Modelling"],"prefix":"10.1109","author":[{"given":"Miguel","family":"Gonzalez-Duque","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rasmus Berg","family":"Palm","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"Risi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","article-title":"Conditional level generation and game blending","author":"sarkar","year":"0","journal-title":"Proceedings of the Experimental AI in Games (EXAG) Workshop at AIIDE 2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CoG47356.2020.9231548"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054170"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5681652"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1178477.1178573"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2007.368106"},{"key":"ref15","first-page":"63","article-title":"Towards automatic personalized content generation for platform games","author":"shaker","year":"0","journal-title":"Proceedings of the 6th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment AIIDE 2010"},{"key":"ref16","first-page":"43","article-title":"Interactive storytelling: A player modelling approach","author":"thue","year":"0","journal-title":"Proceedings of the 3rd Artificial Intelligence and Interactive Digital Entertainment Conference AIIDE 2007"},{"key":"ref17","article-title":"Automatic playtesting for game parameter tuning via active learning","author":"zook","year":"2014","journal-title":"Proceedings of the 9th International Conference on the Foundations of Digital Games FDG 2014 Liberty of the Seas Caribbean April 3–7 2014"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858253"},{"key":"ref19","first-page":"2951","article-title":"Practical bayesian optimization of machine learning algorithms","volume":"25","author":"snoek","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref4","first-page":"93","article-title":"A temporal data-driven player model for dynamic difficulty adjustment","author":"zook","year":"0","journal-title":"Proceedings of the 8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment AIIDE 2012"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CoG47356.2020.9231576"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.entcom.2016.10.002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205517"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2010.5584761"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2017.8080415"},{"key":"ref29","author":"fontaine","year":"2020","journal-title":"Illuminating mario scenes in the latent space of a generative adversarial network"},{"key":"ref8","first-page":"13","article-title":"Dynamic difficulty adjustment via fast user adaptation","author":"moon","year":"0","journal-title":"Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1814256.1814267"},{"key":"ref2","first-page":"91","article-title":"AI for dynamic difficulty adjustment in games","volume":"ws 4 4","author":"hunicke","year":"0","journal-title":"AAAI Workshop - Technical Report"},{"key":"ref9","author":"anthropy","year":"2014","journal-title":"A game design vocabulary Exploring the foundational principles behind good game design"},{"key":"ref1","article-title":"Gamification in education: dynamic difficulty adjustment and learning analytics","author":"pastushenko","year":"0","journal-title":"CHI PLAY 2019 - Ext Abst of the Annual Symp on Comp -Human Interaction in Play"},{"key":"ref20","author":"brochu","year":"2010","journal-title":"A Tutorial on Bayesian Optimization of Expensive Cost Functions with Application to Active User Modeling and Hierarchical Reinforcement Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/nature14422"},{"key":"ref24","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref23","author":"rasmussen","year":"2006","journal-title":"Gaussian Processes for Machine Learning Ser Adaptive Computation and Machine Learning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CoG47356.2020.9231581"},{"key":"ref25","first-page":"645","article-title":"Gaussian processes with monotonicity information","volume":"9","author":"riihimaki","year":"2010","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2021 IEEE Conference on Games (CoG)","location":"Copenhagen, Denmark","start":{"date-parts":[[2021,8,17]]},"end":{"date-parts":[[2021,8,20]]}},"container-title":["2021 IEEE Conference on Games (CoG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9618888\/9618891\/09619018.pdf?arnumber=9619018","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:53:35Z","timestamp":1652201615000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9619018\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,17]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/cog52621.2021.9619018","relation":{},"subject":[],"published":{"date-parts":[[2021,8,17]]}}}