Journal articles on the topic 'Players' learning'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Players' learning.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
Bojanić, Milana, and Goran Bojanić. "Self-Learning Mechanism for Mobile Game Adjustment towards a Player." Applied Sciences 11, no. 10 (May 13, 2021): 4412. http://dx.doi.org/10.3390/app11104412.
Full textWu, Tianhang, Hanchen Wang, Jian Yang, Liang Xu, Yumeng Li, and Jun Zhang. "The prisoner’s dilemma game on scale-free networks with heterogeneous imitation capability." International Journal of Modern Physics C 29, no. 09 (September 2018): 1850077. http://dx.doi.org/10.1142/s0129183118500778.
Full textWolitzky, Alexander. "Learning from Others' Outcomes." American Economic Review 108, no. 10 (October 1, 2018): 2763–801. http://dx.doi.org/10.1257/aer.20170914.
Full textSilva, João Vítor Rocha da, and Paulo Canas Rodrigues. "All-NBA Teams’ Selection Based on Unsupervised Learning." Stats 5, no. 1 (February 9, 2022): 154–71. http://dx.doi.org/10.3390/stats5010011.
Full textHurkens, Sjaak. "Learning by Forgetful Players." Games and Economic Behavior 11, no. 2 (November 1995): 304–29. http://dx.doi.org/10.1006/game.1995.1053.
Full textLi, Neill Y., Nicholas J. Lemme, Steven F. Defroda, Elvis Nunez, Davis A. Hartnett, and Brett D. Owens. "Performance After Operative Versus Nonoperative Management of Shoulder Instability in the National Basketball Association." Orthopaedic Journal of Sports Medicine 7, no. 12 (December 1, 2019): 232596711988933. http://dx.doi.org/10.1177/2325967119889331.
Full textSantillan, Luis Alberto Casillas, and Johor Ismael Jara Gonzalez. "Learning Avatar's Locomotion Patterns Through Spatial Analysis in FPS Video Games." International Journal of Organizational and Collective Intelligence 8, no. 1 (January 2018): 28–45. http://dx.doi.org/10.4018/ijoci.2018010103.
Full textKarnuta, Jaret M., Bryan C. Luu, Heather S. Haeberle, Paul M. Saluan, Salvatore J. Frangiamore, Kim L. Stearns, Lutul D. Farrow, et al. "Machine Learning Outperforms Regression Analysis to Predict Next-Season Major League Baseball Player Injuries: Epidemiology and Validation of 13,982 Player-Years From Performance and Injury Profile Trends, 2000-2017." Orthopaedic Journal of Sports Medicine 8, no. 11 (November 1, 2020): 232596712096304. http://dx.doi.org/10.1177/2325967120963046.
Full textHernandez, Jérôme, Mathieu Muratet, Matthis Pierotti, and Thibault Carron. "Can We Detect Non-playable Characters’ Personalities Using Machine And Deep Learning Approaches?" European Conference on Games Based Learning 16, no. 1 (September 29, 2022): 271–79. http://dx.doi.org/10.34190/ecgbl.16.1.627.
Full textStanley, Kenneth, Ryan Cornelius, Risto Miikkulainen, Thomas D’Silva, and Aliza Gold. "Real-Time Learning in the NERO Video Game." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 1, no. 1 (September 28, 2021): 159–60. http://dx.doi.org/10.1609/aiide.v1i1.18736.
Full textTastan, Bulent, and Gita Sukthankar. "Learning Policies for First Person Shooter Games Using Inverse Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 7, no. 1 (October 9, 2011): 85–90. http://dx.doi.org/10.1609/aiide.v7i1.12430.
Full textKrichene, Walid, Mohamed Chedhli Bourguiba, Kiet Tlam, and Alexandre Bayen. "On Learning How Players Learn." ACM Transactions on Cyber-Physical Systems 2, no. 1 (February 23, 2018): 1–23. http://dx.doi.org/10.1145/3078620.
Full textWang, Tianyi, and Tongyan Li. "Deep Learning-Based Football Player Detection in Videos." Computational Intelligence and Neuroscience 2022 (July 12, 2022): 1–8. http://dx.doi.org/10.1155/2022/3540642.
Full textSyufagi, Moh Aries, Mochamad Hariadi, and Mauridhi Hery Purnomo. "Petri Net Model for Serious Games Based on Motivation Behavior Classification." International Journal of Computer Games Technology 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/851287.
Full textTian, Changjia, Varuna De Silva, Michael Caine, and Steve Swanson. "Use of Machine Learning to Automate the Identification of Basketball Strategies Using Whole Team Player Tracking Data." Applied Sciences 10, no. 1 (December 18, 2019): 24. http://dx.doi.org/10.3390/app10010024.
Full textGoslen, Alex, Dan Carpenter, Jonathan Rowe, Roger Azevedo, and James Lester. "Robust Player Plan Recognition in Digital Games with Multi-Task Multi-Label Learning." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 18, no. 1 (October 11, 2022): 105–12. http://dx.doi.org/10.1609/aiide.v18i1.21953.
Full textLin, Zhiyu, Kyle Xiao, and Mark Riedl. "GenerationMania: Learning to Semantically Choreograph." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 15, no. 1 (October 8, 2019): 52–58. http://dx.doi.org/10.1609/aiide.v15i1.5224.
Full textLeoni, Patrick L. "Learning in General Games with Nature’s Moves." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/453168.
Full textKubo, Masao, Sadayoshi Mikami, Yukinori Kakazu, and Mitsuo Wada. "Adaptive Formation Plays in Simulated Soccer Game Based on Pheromon as Communication Media and Reward Resources." Journal of Robotics and Mechatronics 11, no. 1 (February 20, 1999): 72–77. http://dx.doi.org/10.20965/jrm.1999.p0072.
Full textMustač, Kuzma, Krešimir Bačić, Lea Skorin-Kapov, and Mirko Sužnjević. "Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning." Applied Sciences 12, no. 6 (March 9, 2022): 2795. http://dx.doi.org/10.3390/app12062795.
Full textDe, Shipra, and Darryl A. Seale. "Dynamic Decision Making and Race Games." ISRN Operations Research 2013 (August 7, 2013): 1–15. http://dx.doi.org/10.1155/2013/452162.
Full textLeuchter, Inbal, and Gila Kurtz. "Effects of Instructions, Assistance, Narrative, Competition, Challenge, and Age on Performances in Digital Learning Games." International Journal of Advanced Corporate Learning (iJAC) 15, no. 2 (November 29, 2022): 16–33. http://dx.doi.org/10.3991/ijac.v15i2.30867.
Full textSilva, Agustin, Omar Gustavo Zabaleta, and Constancio Miguel Arizmendi. "Learning Mixed Strategies in Quantum Games with Imperfect Information." Quantum Reports 4, no. 4 (October 29, 2022): 462–75. http://dx.doi.org/10.3390/quantum4040033.
Full textChassang, Sylvain. "Building Routines: Learning, Cooperation, and the Dynamics of Incomplete Relational Contracts." American Economic Review 100, no. 1 (March 1, 2010): 448–65. http://dx.doi.org/10.1257/aer.100.1.448.
Full textCope, Peter, and Hugh Smith. "Cultural context in musical instrument learning." British Journal of Music Education 14, no. 3 (November 1997): 283–89. http://dx.doi.org/10.1017/s026505170000125x.
Full textMizrahi, Dor, Inon Zuckerman, and Ilan Laufer. "Level-K Classification from EEG Signals Using Transfer Learning." Sensors 21, no. 23 (November 27, 2021): 7908. http://dx.doi.org/10.3390/s21237908.
Full textMengel, Friederike. "Learning by (limited) forward looking players." Journal of Economic Behavior & Organization 108 (December 2014): 59–77. http://dx.doi.org/10.1016/j.jebo.2014.08.001.
Full textHorn, Britton, Josh Miller, Gillian Smith, and Seth Cooper. "A Monte Carlo Approach to Skill-Based Automated Playtesting." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 14, no. 1 (September 25, 2018): 166–72. http://dx.doi.org/10.1609/aiide.v14i1.13036.
Full textTsaur, Woei-Jiunn, Chinyang Henry Tseng, and Chin-Ling Chen. "Effective Bots’ Detection for Online Smartphone Game Using Multilayer Perceptron Neural Networks." Security and Communication Networks 2022 (March 29, 2022): 1–10. http://dx.doi.org/10.1155/2022/9429475.
Full textMora, Antonio Miguel, Francisco Aisa, Pablo García-Sánchez, Pedro Ángel Castillo, and Juan Julián Merelo. "Modelling a Human-Like Bot in a First Person Shooter Game." International Journal of Creative Interfaces and Computer Graphics 6, no. 1 (January 2015): 21–37. http://dx.doi.org/10.4018/ijcicg.2015010102.
Full textBunian, Sara, Alessandro Canossa, Randy Colvin, and Magy Seif El-Nasr. "Modeling Individual Differences in Game Behavior Using HMM." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 13, no. 1 (June 25, 2021): 158–64. http://dx.doi.org/10.1609/aiide.v13i1.12942.
Full textGupta, Anisha, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. "Enhancing Multimodal Goal Recognition in Open-World Games with Natural Language Player Reflections." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 18, no. 1 (October 11, 2022): 37–44. http://dx.doi.org/10.1609/aiide.v18i1.21945.
Full textMaare, Åsa Harvard. "Playing cards: spatial arrangements for observational learning." Psychology of Language and Communication 22, no. 1 (January 1, 2018): 187–97. http://dx.doi.org/10.2478/plc-2018-0008.
Full textDonahue, Kate, and Jon Kleinberg. "Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 6 (May 18, 2021): 5303–11. http://dx.doi.org/10.1609/aaai.v35i6.16669.
Full textFairuzabadi, Ahmad, Ahmad Afif Supianto, and Herman Tolle. "Analysis of Players' Speed Thinking in Color Mix Game Application." International Journal of Interactive Mobile Technologies (iJIM) 12, no. 8 (December 24, 2018): 113. http://dx.doi.org/10.3991/ijim.v12i8.9279.
Full textDuda, Henryk, and Aleksander Stuła. "Evaluate the level of creative support of the teaching process of football game tactics." Journal of Kinesiology and Exercise Sciences 27, no. 78 (June 30, 2017): 33–38. http://dx.doi.org/10.5604/01.3001.0011.6797.
Full textSchmid, Laura, Christian Hilbe, Krishnendu Chatterjee, and Martin A. Nowak. "Direct reciprocity between individuals that use different strategy spaces." PLOS Computational Biology 18, no. 6 (June 14, 2022): e1010149. http://dx.doi.org/10.1371/journal.pcbi.1010149.
Full textMcAvoy, Alex, and Martin A. Nowak. "Reactive learning strategies for iterated games." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2223 (March 2019): 20180819. http://dx.doi.org/10.1098/rspa.2018.0819.
Full textDijkhuis, Talko B., Matthias Kempe, and Koen A. P. M. Lemmink. "Early Prediction of Physical Performance in Elite Soccer Matches—A Machine Learning Approach to Support Substitutions." Entropy 23, no. 8 (July 25, 2021): 952. http://dx.doi.org/10.3390/e23080952.
Full textValls-Vargas, Josep, Santiago Ontañón, and Jichen Zhu. "Exploring Player Trace Segmentation for Dynamic Play Style Prediction." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 11, no. 1 (June 24, 2021): 93–99. http://dx.doi.org/10.1609/aiide.v11i1.12782.
Full textMitgutsch, Konstantin. "Playful Learning Experiences." International Journal of Gaming and Computer-Mediated Simulations 3, no. 3 (July 2011): 54–68. http://dx.doi.org/10.4018/jgcms.2011070104.
Full textTjostheim, Ingvar, Vanessa Ayres-Pereira, Chris Wales, Angela Manna, and Simon Egenfeldt-Nielsen. "Dark Pattern: A Serious Game for Learning About the Dangers of Sharing Data." European Conference on Games Based Learning 16, no. 1 (September 29, 2022): 774–83. http://dx.doi.org/10.34190/ecgbl.16.1.872.
Full textSummerville, Adam, Matthew Guzdial, Michael Mateas, and Mark Riedl. "Learning Player Tailored Content From Observation: Platformer Level Generation from Video Traces using LSTMs." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 12, no. 2 (June 25, 2021): 107–13. http://dx.doi.org/10.1609/aiide.v12i2.12895.
Full textZhang, Hong-Bin, and Hong Wang. "Group preferential selection promotes cooperation in spatial public goods game." International Journal of Modern Physics C 25, no. 11 (October 15, 2014): 1450062. http://dx.doi.org/10.1142/s0129183114500624.
Full textMcAndrew, Patrick, Rob Nadolski, and Alex Little. "Developing an approach for Learning Design Players." Journal of Interactive Media in Education 2005, no. 1 (August 17, 2005): 15. http://dx.doi.org/10.5334/2005-14.
Full textIKEDA, Hanako, Ryo Kato, Kazumi Kasahara, and Katsumi WATANABE. "Visuomotor sequential learning in action game players." Proceedings of the Annual Convention of the Japanese Psychological Association 75 (September 15, 2011): 3EV093. http://dx.doi.org/10.4992/pacjpa.75.0_3ev093.
Full textProtopapas, Mattheos K., Francesco Battaglia, and Elias B. Kosmatopoulos. "Coevolutionary Genetic Algorithms for Establishing Nash Equilibrium in Symmetric Cournot Games." Advances in Decision Sciences 2010 (May 12, 2010): 1–18. http://dx.doi.org/10.1155/2010/573107.
Full textWISEMAN, THOMAS. "SEQUENTIAL CHOICE AND NON-BAYESIAN OBSERVATIONAL LEARNING." International Game Theory Review 11, no. 03 (September 2009): 285–300. http://dx.doi.org/10.1142/s0219198909002327.
Full textThompson, Meredith, Cigdem Uz-Bilgin, M. Shane Tutwiler, Melat Anteneh, Josephine Camille Meija, Annie Wang, Philip Tan, et al. "Immersion positively affects learning in virtual reality games compared to equally interactive 2d games." Information and Learning Sciences 122, no. 7/8 (July 19, 2021): 442–63. http://dx.doi.org/10.1108/ils-12-2020-0252.
Full textOzuak, Ali, and Atakan Çağlayan. "Differential Learning as an Important Factor in Training of Football Technical Skills." Journal of Education and Training Studies 7, no. 6 (May 10, 2019): 68. http://dx.doi.org/10.11114/jets.v7i6.4135.
Full text