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Nick Sephton
Nick Sephton
Bestätigte E-Mail-Adresse bei york.ac.uk
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Zitiert von
Zitiert von
Jahr
Win prediction in multiplayer esports: Live professional match prediction
VJ Hodge, S Devlin, N Sephton, F Block, PI Cowling, A Drachen
IEEE Transactions on Games 13 (4), 368-379, 2019
982019
Narrative bytes: Data-driven content production in esports
F Block, V Hodge, S Hobson, N Sephton, S Devlin, MF Ursu, A Drachen, ...
Proceedings of the 2018 ACM international conference on interactive …, 2018
682018
Investigating distribution of practice effects for the learning of foreign language verb morphology in the young learner classroom
RE Kasprowicz, E Marsden, N Sephton
The Modern Language Journal 103 (3), 580-606, 2019
652019
Win prediction in esports: Mixed-rank match prediction in multi-player online battle arena games
V Hodge, S Devlin, N Sephton, F Block, A Drachen, P Cowling
arXiv preprint arXiv:1711.06498, 2017
372017
Heuristic move pruning in Monte Carlo Tree Search for the strategic card game Lords of War
N Sephton, PI Cowling, E Powley, NH Slaven
2014 IEEE conference on computational intelligence and games, 1-7, 2014
372014
Combining gameplay data with monte carlo tree search to emulate human play
S Devlin, A Anspoka, N Sephton, P Cowling, J Rollason
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2016
302016
An experimental study of action selection mechanisms to create an entertaining opponent
N Sephton, PI Cowling, NH Slaven
2015 IEEE Conference on Computational Intelligence and Games (CIG), 122-129, 2015
142015
Parallelization of information set monte carlo tree search
N Sephton, PI Cowling, E Powley, D Whitehouse, NH Slaven
2014 IEEE Congress on Evolutionary Computation (CEC), 2290-2297, 2014
142014
How the business model of customizable card games influences player engagement
VJ Hodge, N Sephton, S Devlin, PI Cowling, N Goumagias, J Shao, ...
IEEE Transactions on Games 11 (4), 374-385, 2018
122018
Difficulty-skill balance does not affect engagement and enjoyment: a pre-registered study using artificial intelligence-controlled difficulty
J Cutting, S Deterding, S Demediuk, N Sephton
Royal Society Open Science 10 (2), 220274, 2023
52023
Using bugs and viruses to teach artificial intelligence
PI Cowling, R Fennell, R Hogg, G King, P Rhodes, N Sephton
Proceedings of The International Conference on Computer Games: Artificial …, 2004
52004
Using association rule mining to predict opponent deck content in Android: Netrunner
N Sephton, PI Cowling, S Devlin, VJ Hodge, NH Slaven
2016 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2016
42016
Difficulty-skill balance does not affect engagement and enjoyment: A pre-registered study using AI-controlled difficulty
J Cutting, S Deterding, S Demediuk, N Sephton
PsyArXiv, 2022
32022
Applying Artificial Intelligence and Machine Learning Techniques to Create Varying Play Style in Artificial Game Opponents
N Sephton
University of York, 2016
22016
DEBS Graveyard Surveyor (prototype)
T Pillatt, N Sephton, J Gray
2019
How the Business Model of Customisable Card Games Influences Player Engagement
N Goumagias, J Shao, K Purvis, I Cabras, KJ Fernandes, F Li
2018
SPECIAL ISSUE ON TEAM AI IN GAMES
VJ Hodge, S Devlin, N Sephton, F Block, PI Cowling, A Drachen, ...
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