Toward Designer Modeling Through Design Style Clustering
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[1] J. Togelius,et al. PCGRL: Procedural Content Generation via Reinforcement Learning , 2020, AIIDE.
[2] Alberto Alvarez,et al. Learning the Designer's Preferences to Drive Evolution , 2020, EvoApplications.
[3] Vishwa Shah,et al. Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators , 2019, CHI.
[4] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[5] Antonios Liapis,et al. Your Gameplay Says It All: Modelling Motivation in Tom Clancy’s The Division , 2019, 2019 IEEE Conference on Games (CoG).
[6] Matthew Guzdial,et al. Co-Creative Level Design via Machine Learning , 2018, AIIDE Workshops.
[7] Amina Adadi,et al. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) , 2018, IEEE Access.
[8] Alessandro Canossa,et al. Towards a Procedural Evaluation Technique: Metrics for Level Design , 2015, FDG.
[9] Julian Togelius,et al. Generating Map Sketches for Strategy Games , 2013, EvoApplications.
[10] Julian Togelius,et al. Search-Based Procedural Content Generation: A Taxonomy and Survey , 2011, IEEE Transactions on Computational Intelligence and AI in Games.
[11] Fast Game Content Adaptation Through Bayesian-based Player Modelling , 2021, 2021 IEEE Conference on Games (CoG).
[12] Julian Togelius,et al. Designer modeling for Sentient Sketchbook , 2014, 2014 IEEE Conference on Computational Intelligence and Games.
[13] Michael Mateas,et al. Tanagra: Reactive Planning and Constraint Solving for Mixed-Initiative Level Design , 2011, IEEE Transactions on Computational Intelligence and AI in Games.
[14] Jichen Zhu,et al. Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation , 2018, 2018 IEEE Conference on Computational Intelligence and Games (CIG).
[15] Julian Togelius,et al. Pitako - Recommending Game Design Elements in Cicero , 2019, 2019 IEEE Conference on Games (CoG).
[16] Eric D. Ragan,et al. The Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent Systems , 2019, HCOMP.
[17] Antonios Liapis,et al. SuSketch: Surrogate Models of Gameplay as a Design Assistant , 2021, IEEE Transactions on Games.
[18] Corbeil-Essonnes. The Legend of Zelda , 2011 .
[19] Julian Togelius,et al. Interactive Constrained MAP-Elites Analysis and Evaluation of the Expressiveness of the Feature Dimensions , 2020, ArXiv.
[20] Julian Togelius,et al. Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites , 2019, 2019 IEEE Conference on Games (CoG).
[21] Antonios Liapis,et al. I Feel I Feel You: A Theory of Mind Experiment in Games , 2020, KI - Künstliche Intelligenz.
[22] Julian Togelius,et al. Ropossum: An Authoring Tool for Designing, Optimizing and Solving Cut the Rope Levels , 2013, AIIDE.
[23] Boyang Li,et al. Story Generation with Crowdsourced Plot Graphs , 2013, AAAI.
[24] G. Dreifuss. The Binding of Isaac , 1975 .
[25] Matthew Guzdial,et al. Explainable PCGML via Game Design Patterns , 2018, AIIDE Workshops.
[26] Daniele Gravina,et al. Modelling the Quality of Visual Creations in Iconoscope , 2019, GALA.
[27] Antonios Liapis,et al. Mixed-initiative content creation , 2016 .
[28] Georgios N. Yannakakis,et al. Player modeling using self-organization in Tomb Raider: Underworld , 2009, 2009 IEEE Symposium on Computational Intelligence and Games.
[29] Alberto Alvarez,et al. Fostering creativity in the mixed-initiative evolutionary dungeon designer , 2018, FDG.
[30] Steve Dahlskog,et al. Towards pattern-based mixed-initiative dungeon generation , 2017, FDG.
[31] Georgios N. Yannakakis,et al. Artificial General Intelligence in Games: Where Play Meets Design and User Experience (NII Shonan Meeting 130) , 2019, NII Shonan Meet. Rep..
[32] Jichen Zhu,et al. Interactive Visualizer to Facilitate Game Designers in Understanding Machine Learning , 2019, CHI Extended Abstracts.
[33] Julian Togelius,et al. Talakat: bullet hell generation through constrained map-elites , 2018, GECCO.
[34] Matthew Guzdial,et al. Game Level Generation from Gameplay Videos , 2021, AIIDE.
[35] Julian Togelius,et al. Procedural Content Generation via Machine Learning (PCGML) , 2017, IEEE Transactions on Games.
[36] Todd Lubart,et al. How can computers be partners in the creative process: Classification and commentary on the Special Issue , 2005, Int. J. Hum. Comput. Stud..
[37] J. Togelius,et al. Baba is Y’all: Collaborative Mixed-Initiative Level Design , 2020, 2020 IEEE Conference on Games (CoG).
[38] Julian Togelius,et al. Designer Modeling for Personalized Game Content Creation Tools , 2021, Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.
[39] Julian Togelius,et al. Automated Playtesting With Procedural Personas Through MCTS With Evolved Heuristics , 2018, IEEE Transactions on Games.
[40] Mark O. Riedl,et al. Learning Player Tailored Content From Observation: Platformer Level Generation from Video Traces using LSTMs , 2021, Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.
[41] Been Kim,et al. Considerations for Evaluation and Generalization in Interpretable Machine Learning , 2018 .
[42] Julian Togelius,et al. Towards automatic personalised content creation for racing games , 2007, 2007 IEEE Symposium on Computational Intelligence and Games.
[43] Julian Togelius,et al. Experience-Driven Procedural Content Generation , 2011, IEEE Transactions on Affective Computing.