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game theory
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A case study of learning assessment, flow, satisfaction and
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Tan, W.H.[Wee Hoe],
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Integrating serious games into the engineering curriculum - a
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Cai, H.Y.[Hao-Yang],
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JVCIR(57), 2018, pp. 23-27.
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1812
Minimax algorithm, Modified Minimax algorithm, Pearl's game
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Reach-Avoid Games With Two Defenders and One Attacker:
An Analytical Approach,
Cyber(49), No. 3, March 2019, pp. 1035-1046.
IEEE DOI
1902
Games, Collision avoidance, Robots, Path planning, Missiles,
Cybernetics, Computational complexity, Analytical approach,
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Sui, K.[Kun],
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Image processing analysis and research based on game animation design,
JVCIR(60), 2019, pp. 94-100.
Elsevier DOI
1903
Image processing, Game animation, Visual expression, Human-machine interface
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Olszewski, R.[Robert],
Cegielka, M.[Mateusz],
Szczepankowska, U.[Urszula],
Wesolowski, J.[Jacek],
Developing a Serious Game That Supports the Resolution of Social and
Ecological Problems in the Toolset Environment of Cities: Skylines,
IJGI(9), No. 2, 2020, pp. xx-yy.
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Westerholt, R.[Rene],
Lorei, H.[Heinrich],
Höfle, B.[Bernhard],
Behavioural Effects of Spatially Structured Scoring Systems in
Location-Based Serious Games: A Case Study in the Context of
OpenStreetMap,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link
2003
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Gutierrez, J.[Julian],
Najib, M.[Muhammad],
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Automated temporal equilibrium analysis: Verification and synthesis
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AI(287), 2020, pp. 103353.
Elsevier DOI
2008
Multi-agent systems, Temporal logic, Nash equilibrium,
Bisimulation invariance, Rational verification, Synthesis
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Chen, H.,
Lu, M.,
Ma, Z.,
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Xu, Y.,
Shen, Q.,
Zhang, W.,
Learned Resolution Scaling Powered Gaming-as-a-Service at Scale,
MultMed(23), 2021, pp. 584-596.
IEEE DOI
2102
cloud computing, computer games, concurrency control,
image reconstruction, image restoration, neural nets,
learned resolution scaling
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Aguiar, N.[Nayara],
Venkitasubramaniam, P.[Parv],
Gupta, V.[Vijay],
Data-Driven Contract Design for Multi-Agent Systems With Collusion
Detection,
SPLetters(29), 2022, pp. 1002-1006.
IEEE DOI
2205
Contracts, Task analysis, Sensors, Estimation, Costs, Games,
Noise measurement, Agent collusion, game theory, dynamic contract
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Cloude, E.B.[Elizabeth B.],
Dever, D.A.[Daryn A.],
Hahs-Vaughn, D.L.[Debbie L.],
Emerson, A.J.[Andrew J.],
Azevedo, R.[Roger],
Lester, J.[James],
Affective Dynamics and Cognition During Game-Based Learning,
AffCom(13), No. 4, October 2022, pp. 1705-1717.
IEEE DOI
2212
Cognition, Crystals, Face recognition, Time series analysis,
Software, Games, Game-based learning environments, affective dynamics
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Ma, K.[Ke],
Xu, Q.Q.[Qian-Qian],
Zeng, J.S.[Jin-Shan],
Li, G.R.[Guo-Rong],
Cao, X.C.[Xiao-Chun],
Huang, Q.M.[Qing-Ming],
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank
Aggregation is the Fixed Point of Adversarial Game,
PAMI(45), No. 4, April 2023, pp. 4090-4108.
IEEE DOI
2303
Voting, Sports, Electric potential, Training, Stochastic processes,
Security, Optimization, Adversarial learning, pairwise comparison,
ranking aggregation
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Xin, Y.F.[Yi-Fei],
Wang, B.[Baojun],
Shang, L.F.[Li-Feng],
Cooperative Game Modeling With Weighted Token-Level Alignment for
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SPLetters(30), 2023, pp. 1317-1321.
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2310
BibRef
Wen, X.[Xiang],
Zhao, S.W.[Shi-Wei],
Wang, H.[Haobo],
Wu, R.[Runze],
Qu, M.[Manhu],
Hu, T.L.[Tian-Lei],
Chen, G.[Gang],
Tao, J.R.[Jiang-Rong],
Fan, C.J.[Chang-Jie],
Multi-Source Multi-Label Learning for User Profiling in Online Games,
MultMed(25), 2023, pp. 4135-4147.
IEEE DOI
2310
BibRef
Melhart, D.[David],
Togelius, J.[Julian],
Mikkelsen, B.[Benedikte],
Holmgĺrd, C.[Christoffer],
Yannakakis, G.N.[Georgios N.],
The Ethics of AI in Games,
AffCom(15), No. 1, January 2024, pp. 79-92.
IEEE DOI
2403
Artificial intelligence, Games, Ethics, Computational modeling,
Industries, Data models, Video games, Artificial intelligence,
affective computing
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Pu, J.[Jiyao],
Duan, H.R.[Hao-Ran],
Zhao, J.Z.[Jun-Zhe],
Long, Y.[Yang],
Rules for Expectation: Learning to Generate Rules via Social
Environment Modeling,
CirSysVideo(34), No. 8, August 2024, pp. 6874-6887.
IEEE DOI
2408
Games, Task analysis, Metaverse, Computational modeling,
Biological system modeling, Reinforcement learning,
automated game design
BibRef
Bian, Y.L.[Yu-Long],
Zhou, C.[Chao],
Zhang, Y.[Yang],
Liu, J.[Juan],
Sheng, J.[Jenny],
Liu, Y.J.[Yong-Jin],
Focus on Cooperation:
A Face-to-Face VR Serious Game for Relationship Enhancement,
AffCom(15), No. 3, July 2024, pp. 913-928.
IEEE DOI
2409
Games, Prototypes, Task analysis, Electroencephalography, COVID-19,
Solid modeling, Virtual environments, Flow experience assessment,
virtual reality
BibRef
Gomes, S.[Samuel],
Rocha, J.B.[José Bernardo],
Dias, J.[Joăo],
Martinho, C.[Carlos],
Designing a Mood-Mediated Multi-Level Reasoner,
AffCom(15), No. 3, July 2024, pp. 787-798.
IEEE DOI
2409
Mood, Games, Cognition, Appraisal, Decision making, Tuning,
Computational modeling, Affective computing, cognitive models,
mood or core affect
BibRef
Chen, G.[Guanpu],
Xu, G.[Gehui],
He, F.X.[Feng-Xiang],
Hong, Y.G.[Yi-Guang],
Rutkowski, L.[Leszek],
Tao, D.C.[Da-Cheng],
Approaching the Global Nash Equilibrium of Non-Convex Multi-Player
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PAMI(46), No. 12, December 2024, pp. 10797-10813.
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WWW Link.
2411
Games, Convergence, Location awareness, Artificial neural networks,
Training, Nash equilibrium, Vectors, Non-convex, multi-player game,
duality theory
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Fukaya, K.[Kaisei],
Daylamani-Zad, D.[Damon],
Agius, H.[Harry],
Evaluation Metrics for Intelligent Generation of Graphical Game
Assets: A Systematic Survey-Based Framework,
PAMI(46), No. 12, December 2024, pp. 7998-8017.
IEEE DOI
2411
Measurement, Games, Databases, Systematics, Sprites (computer),
Solid modeling, Artificial intelligence, evaluation metrics, PCG
BibRef
Poivet, R.[Remi],
de Lagarde, A.[Alexandra],
Pelachaud, C.[Catherine],
Auvray, M.[Malika],
Evaluation of Virtual Agents' Hostility in Video Games,
AffCom(15), No. 4, October 2024, pp. 1949-1961.
IEEE DOI
2412
Games, Video games, Visualization, Weapons, Affective computing, Shape,
Human factors, video games
BibRef
Lee, H.J.[Hyeon Joon],
Simo-Serra, E.[Edgar],
Using Unconditional Diffusion Models in Level Generation for Super
Mario Bros,
MVA23(1-5)
DOI Link
2403
Video games, Machine vision, Games
BibRef
Meng, L.[Li],
Goodwin, M.[Morten],
Yazidi, A.[Anis],
Engelstad, P.[Paal],
Unsupervised State Representation Learning in Partially Observable
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CAIP23(II:212-222).
Springer DOI
2312
BibRef
Geffen, J.[Jonathan],
Improving Parent-Child Co-Play in a Roblox Game,
MMMod23(II: 745-750).
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2304
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Brocchini, M.[Michele],
Mameli, M.[Marco],
Balloni, E.[Emanuele],
Sciucca, L.D.[Laura Della],
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Paolanti, M.[Marina],
Frontoni, E.[Emanuele],
Zingaretti, P.[Primo],
MONstEr: A Deep Learning-Based System for the Automatic Generation of
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ISHAPE22(280-290).
Springer DOI
2208
BibRef
Huang, Y.H.[Yu-Heng],
Chu, W.T.[Wei-Ta],
Indie Games Popularity Prediction by Considering Multimodal Features,
MMMod22(II:52-61).
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2203
BibRef
Tauscher, H.,
Le, V.T.,
Map Generation for Retro Gaming Engines,
GeoInfo21(79-84).
DOI Link
2201
Ai and Big data
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Edwards, G.[Gemma],
Subianto, N.[Nicholas],
Englund, D.[David],
Goh, J.W.[Jun Wei],
Coughran, N.[Nathan],
Milton, Z.[Zachary],
Mirnateghi, N.[Nima],
Shah, S.A.A.[Syed Afaq Ali],
The Role of Machine Learning in Game Development Domain:
A Review of Current Trends and Future Directions,
DICTA21(01-07)
IEEE DOI
2201
Industries, Digital images, Games, Machine learning, Production,
Product development, Machine Learning, Game Development
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Horst, R.[Robin],
Lanvers, M.[Micha],
von Kacsoh, L.[László],
Dörner, R.[Ralf],
MOBA Coach:
Exploring and Analyzing Multiplayer Online Battle Arena Data,
ISVC21(I:197-209).
Springer DOI
2112
BibRef
Liu, S.M.[Sheng-Mei],
Claypool, M.[Mark],
Game Input with Delay: A Model of the Time Distribution for Selecting a
Moving Target with a Mouse,
MMMod21(I:506-518).
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2106
BibRef
Okhrati, R.[Ramin],
Lipani, A.[Aldo],
A Multilinear Sampling Algorithm to Estimate Shapley Values,
ICPR21(7992-7999)
IEEE DOI
2105
Machine learning algorithms, Estimation, Machine learning, Games,
Tools, Multilayer perceptrons, Sampling methods, shapley values, sampling
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Barros, P.[Pablo],
Tanevska, A.[Ana],
Sciutti, A.[Alessandra],
Learning from Learners: Adapting Reinforcement Learning Agents to be
Competitive in a Card Game,
ICPR21(2716-2723)
IEEE DOI
2105
Training, Adaptation models, Heuristic algorithms, Games,
Reinforcement learning, Task analysis
BibRef
Leung, C.W.[Chin-Wing],
Hu, S.Y.[Shu-Yue],
Leung, H.F.[Ho-Fung],
Self-Play or Group Practice:
Learning to Play Alternating Markov Game in Multi-Agent System,
ICPR21(9234-9241)
IEEE DOI
2105
Training, Monte Carlo methods, Sociology, Games,
Reinforcement learning, Markov processes, Nash equilibrium
BibRef
Xiong, C.[Chuan],
Zhu, D.D.[Dan-Dan],
Peng, Z.M.[Zi-Ming],
Design and Development of Spinning Bike Game Based on VR Technology,
ICIVC20(227-231)
IEEE DOI
2009
Games, Virtual reality, Spinning, Computers, Software,
Research and development, VR, Unity3D, game design
BibRef
Tupper, A.,
Neshatian, K.,
Evaluating Learned State Representations for Atari,
IVCNZ20(1-6)
IEEE DOI
2012
Training, Visualization, Reinforcement learning, Games, Robustness,
Task analysis, Image reconstruction
BibRef
Meftah, C.,
Retbi, A.,
Bennani, S.,
Khalidi Idrissi, M.,
The Mobile Serious Game 'easy Html': Scenarios and Perspectives,
SmartCityApp20(279-284).
DOI Link
2012
BibRef
Bouroumane, F.,
Saaidi, A.,
Abarkan, M.,
Pedagogical Efficiency at the Ludic Level of a Serious Game,
ISCV20(1-6)
IEEE DOI
2011
computer aided instruction, serious games (computing),
pedagogical efficiency, serious game, pedagogical effectiveness,
video game
BibRef
Kim, S.W.,
Zhou, Y.,
Philion, J.,
Torralba, A.,
Fidler, S.,
Learning to Simulate Dynamic Environments With GameGAN,
CVPR20(1228-1237)
IEEE DOI
2008
Games, Memory modules, Engines, Videos, Visualization, Task analysis
BibRef
Tang, Y.,
Towards Learning Multi-Agent Negotiations via Self-Play,
ADW19(2427-2435)
IEEE DOI
2004
decision theory, learning (artificial intelligence),
Markov processes, multi-agent systems, sophisticated decisions,
Self Play
BibRef
Nikulin, D.,
Ianina, A.,
Aliev, V.,
Nikolenko, S.,
Free-Lunch Saliency via Attention in Atari Agents,
VXAI19(4240-4249)
IEEE DOI
2004
computer games, convolutional neural nets, feature extraction,
learning (artificial intelligence), Atari environments, atari
BibRef
Nguyen, D.V.[Duc V.],
Tran, H.T.T.[Huyen T. T.],
Thang, T.C.[Truong Cong],
A Delay-aware Adaptation Framework for Cloud Gaming Under the
Computation Constraint of User Devices,
MMMod20(II:27-38).
Springer DOI
2003
BibRef
Brandăo, A.[André],
Pires, P.[Pedro],
Georgieva, P.[Petia],
Reinforcement Learning and Neuroevolution in Flappy Bird Game,
IbPRIA19(I:225-236).
Springer DOI
1910
BibRef
Oliveira, B.[Bruno],
Azulay, D.[Diego],
Carvalho, P.[Paulo],
GVRf and Blender: A Path for Android Apps and Games Development,
VAMR19(II:329-337).
Springer DOI
1909
BibRef
Vallefuoco, E.[Ersilia],
Mele, M.[Michele],
Pepino, A.[Alessandro],
A Serious Game to Support Decision Making in Medical Education,
NTIAP19(237-243).
Springer DOI
1909
BibRef
Christaki, K.[Kyriaki],
Apostolakis, K.C.[Konstantinos C.],
Doumanoglou, A.[Alexandros],
Zioulis, N.[Nikolaos],
Zarpalas, D.[Dimitrios],
Daras, P.[Petros],
Space Wars: An AugmentedVR Game,
MMMod19(II:566-570).
Springer DOI
1901
BibRef
Krahenbuhl, P.,
Free Supervision from Video Games,
CVPR18(2955-2964)
IEEE DOI
1812
Games, Rendering (computer graphics), Optical imaging,
Visualization, Image segmentation, Semantics, Real-time systems
BibRef
Zhu, J.,
Zou, W.,
Zhu, Z.,
Learning Evasion Strategy in Pursuit-Evasion by Deep Q-network,
ICPR18(67-72)
IEEE DOI
1812
Games, Training, Testing, Force, Euclidean distance,
Convolutional neural networks
BibRef
Rusek, M.[Marian],
Jusiak, R.[Rafal],
Karwowski, W.[Waldemar],
Algorithms for Random Maps Generation and Their Implementation as a
Python Library,
ICCVG18(57-67).
Springer DOI
1810
BibRef
Zhao, C.,
Yang, J.,
Xiao, Y.,
Cao, Z.,
Scalable Multi-Consistency Feature Matching with Non-Cooperative
Games,
ICIP18(1258-1262)
IEEE DOI
1809
Games, Robustness, Task analysis,
Feature extraction, Position measurement, Interference, game-theory
BibRef
Li, Y.,
Chang, H.,
Lin, Y.,
Wu, P.,
Wang, Y.F.[Y. Frank],
Deep Reinforcement Learning for Playing 2.5D Fighting Games,
ICIP18(3778-3782)
IEEE DOI
1809
Games, Training, Machine learning,
Servers, Standards,
game
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Carvalho, P.[Paulo],
Following the White Rabbit: The Virtual Reality for Games,
VAMR18(II: 172-183).
Springer DOI
1807
BibRef
Prata, W.[Wilson],
Oliveira, J.[Juan],
Melo, P.[Paulo],
Walking with Angest: Subjective Measures for Subjective Evaluation in a
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VAMR18(II: 202-212).
Springer DOI
1807
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Nesteriuk, S.[Sergio],
Audiogames: Accessibility and Inclusion in Digital Entertainment,
DHM18(338-352).
Springer DOI
1807
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Eichelbaum, J.[Jeremias],
Hänsch, R.[Ronny],
Hellwich, O.[Olaf],
Classification of Icon Type and Cooldown State in Video Game Replays,
ICIAR18(227-234).
Springer DOI
1807
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Yee, A.[Arturo],
Alvarado, M.[Matías],
Patterns of Go Gaming by Ising Model,
MCPR18(3-11).
Springer DOI
1807
BibRef
Hvass, J.,
Larsen, O.,
Vendelbo, K.,
Nilsson, N.,
Nordahl, R.,
Serafin, S.,
Visual realism and presence in a virtual reality game,
3DTV-CON17(1-4)
IEEE DOI
1804
computer games, human computer interaction, image texture,
virtual reality, VR games, polygon count, presence sensation,
realism
BibRef
Johnson, E.K.[Emily K.],
Smith, P.A.[Peter A.],
Dombrowski, M.[Matt],
Buyssens, R.[Ryan],
SuperJam: Participatory Design for Accessible Games,
VAMR17(339-348).
Springer DOI
1712
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User-Generated Accessibility in Virtual World Games,
VAMR17(349-358).
Springer DOI
1712
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Using Commercial Virtual Reality Games to Prototype Serious Games and
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VAMR17(359-368).
Springer DOI
1712
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Nordin, A.I.[A. Imran],
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Understanding Hospitalized Pediatric Cancer Patients' Activities for
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IVIC17(552-558).
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1711
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Johar, R.H.[Razuan Harmy],
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An Evaluation of Player Enjoyment in Game-Based Learning Arithmetic
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IVIC17(636-646).
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1711
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Razak, F.H.A.[Fariza Hanis Abdul],
Azhar, N.H.C.[Nor Haizam Che],
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Exploring Malay Older User Motivation to Play Mobile Games,
IVIC17(478-488).
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1711
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Nguyen, M.,
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Design of a new trading card for table-top augmented reality game
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ICVNZ16(1-6)
IEEE DOI
1701
Augmented reality
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Mandeville, A.[Alexia],
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Using iBeacons for Location-Based Tracking in Alternate Reality Games:
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VAMR16(339-347).
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Distributed Optimal Flocking Design for Multi-agent Two-Player Zero-Sum
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1701
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Darhmaoui, H.,
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Pre-service Teachers' Perceptions and Awareness toward Serious Games
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CGiV16(431-436)
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computer aided instruction
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Guideline for Designing an Effective Serious Game by Using
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1511
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Comparative study of the process model of Serious Game Design through
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ISCV15(1-5)
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authoring systems
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The research on mobile game engine,
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1112
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Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Gesture Systems, Using Depth Images, Range Data, Stereo Analysis for Gestures .