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  • Thinking and doing: Challenge, agency, and the eudaimonic experience in video games

    < Back Thinking and doing: Challenge, agency, and the eudaimonic experience in video games Link Author(s) T Cole, M Gillies Abstract More info TBA Link

  • Meta-Referential Games to Learn Compositional Learning Behaviours

    < Back Meta-Referential Games to Learn Compositional Learning Behaviours Link Author(s) K Denamganaï, S Missaoui, JA Walker Abstract More info TBA Link

  • TAG: A tabletop games framework

    < Back TAG: A tabletop games framework Link Author(s) R Gaina, M Balla, A Dockhorn, R Montoliu Colas Abstract More info TBA Link

  • The Design Of" Stratega": A General Strategy Games Framework

    < Back The Design Of" Stratega": A General Strategy Games Framework Link Author(s) D Perez-Liebana, A Dockhorn, JH Grueso, D Jeurissen Abstract More info TBA Link

  • Game AI | iGGi PhD

    < Back Game AI How might we use novel AI techniques including machine learning and decision search to create more effective and engaging game agents and understand human behaviour in games? Project areas include: AI agents that play games using Deep Reinforcement Learning and Statistical forward planning AI agents as non-player characters General Video Game AI - AI that can be transferred between video games AI agents for game balancing and Quality Assurance testing << Previous Theme page Next Theme page >> iGGi >>> People <<< relevant to this Theme: Michael Aichmüller iGGi Alum Game AI, Applied Games Read More Dr Martin Balla iGGi Alum Available for post-PhD position Game AI Read More Matt Bedder iGGi Alum Game AI Read More Toby Best iGGi PG Researcher Available for placement Game AI, Design & Development, Player Research Read More Dr Memo Akten iGGi Alum Game AI Read More Dr Mathieu Barthet Supervisor Game AI, Game Audio Read More Prof. David Beer Supervisor Player Research, Applied Games, Creative Computing, Game Data, Game AI Read More Dr Adrian Bors Supervisor Game AI Read More Dr Myat Aung iGGi Alum Game AI Read More Prof. Richard Bartle Supervisor Design & Development, Game AI, Player Research Read More Dr Daniel Berio iGGi Alum Game AI Read More Dr Ivan Bravi iGGi Alum Game AI, Player Research Read More Load More iGGi People working in this Theme iGGi >>> Publications <<< relevant to this Theme: World and human action models towards gameplay ideation A Kanervisto, D Bignell, LY Wen, M Grayson, R Georgescu, ... Nature 638 (8051), 656-663, 2025 Marko Tot View Details Towards an Ontology of Wargame Design L Ouriques, CE Barbosa, J Kritz, G Xexéo IEEE Access, vol. 13 Joshua Kritz View Details When 1+ 1 does not equal 2: Synergy in games Joshua Kritz, Raluca Gaina arXiv preprint arXiv:2502.10304 Joshua Kritz View Details Archaeological Gameworld Affordances: A Grounded Theory of How Players Interpret Environmental Storytelling F Smith Nicholls, M Cook CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, Article no 465, p. 1 - 20 Florence Smith Nicholls View Details Seeding for Success: Skill and Stochasticity in Tabletop Games J Goodman, D Perez-Liebana, S Lucas IEEE Transactions on Games, 2025 James Goodman View Details Efficient solutions for an intriguing failure of llms: Long context window does not mean LLMs can analyze long sequences flawlessly Peyman Hosseini, Ignacio Castro, Iacopo Ghinassi, Matthew Purver 31st International Conference on Computational Linguistics (COLING) Peyman Hosseini View Details Load More iGGi Publications for this Theme Previous Next

  • Evaluating the Effects on Monte Carlo Tree Search of Predicting Co-operative Agent Behaviour

    < Back Evaluating the Effects on Monte Carlo Tree Search of Predicting Co-operative Agent Behaviour Link Author(s) J Walton-Rivers Abstract More info TBA Link

  • Trace it like you believe it: Time-continuous believability prediction

    < Back Trace it like you believe it: Time-continuous believability prediction Link Author(s) C Pacheco, D Melhart, A Liapis, GN Yannakakis, D Perez-Liebana Abstract More info TBA Link

  • Game Data | iGGi PhD

    < Back Game Data How might we analyse the big data exhausts of games to support game developers and understand people inside and outside of games? Project areas include: Imitation Learning: Using game data from human players we can build AI opponents and team-mates to enhance multi-player games. Comparative Analysis of Games : By comparing data across different games, developers can understand key factors underlying game genres or mechanics, leading to more successful future game designs. Social Dynamics in Games : Studying data from multiplayer games can uncover fascinating insights about social dynamics and cooperation/competition among players. Game Economics : In games with virtual economies, tracking and analysing economic data can help maintain balanced economies, which is crucial for player satisfaction and the longevity of the game. << Previous Theme page Next Theme page >> iGGi >>> People <<< relevant to this Theme: Dr Nick Ballou iGGi Alum Player Research, Game Data Read More Steph Carter iGGi PG Researcher Available for placement Applied Games, Design & Development, Player Research, Accessibility, Game Data Read More Dan Cooke iGGi PG Researcher Available for placement Esports, Game Data, Player Research Read More Dr Jeremy Gow Supervisor Game AI, Creative Computing, Design & Development, Game Data Read More Prof. David Beer Supervisor Player Research, Applied Games, Creative Computing, Game Data, Game AI Read More Dr Ignacio Castro Supervisor Game AI, Applied Games, Player Research, Game Data Read More Prof. Anders Drachen Supervisor Player Research, Design & Development, Game Data, Esports Read More Dr Miles Hansard Supervisor Game AI, Immersive Technology, Design & Development, Game Data Read More Prof. Paul Cairns Supervisor Applied Games, Player Research, Accessibility, Game Data Read More Dr Tom Collins Supervisor Game AI, Game Audio, Game Data, Player Research, Esports Read More Dr Dan Franks Supervisor Game AI, Game Data Read More Yu-Jhen Hsu iGGi PG Researcher Game AI, Game Data Read More Load More iGGi People working in this Theme iGGi >>> Publications <<< relevant to this Theme: Cost-Effective Attention Mechanisms for Low Resource Settings: Necessity & Sufficiency of Linear Transformations P Hosseini, M Hosseini, I Castro, M Purver arXiv preprint arXiv:2403.01643, 2025 Peyman Hosseini View Details Archaeological Gameworld Affordances: A Grounded Theory of How Players Interpret Environmental Storytelling F Smith Nicholls, M Cook CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, Article no 465, p. 1 - 20 Florence Smith Nicholls View Details Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents D Jeurissen, D Perez-Liebana, J Gow, D Cakmak, J Kwan arXiv preprint arXiv:2403.00690, 2024 Dominik Jeurissen View Details GeoPos: A Minimal Positional Encoding for Enhanced Fine-Grained Details in Image Synthesis Using Convolutional Neural Networks M Hosseini, P Hosseini arXiv preprint arXiv:2401.01951, 2024 Peyman Hosseini View Details Applying and Visualising Complex Models in Esport Broadcast Coverage A Pedrassoli Chitayat, F Block, JA Walker, A Drachen Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, 2024 Dr Alan Pedrassoli Chitayat View Details Money laundering through video games, a criminals' playground D Cooke, A Marshall Forensic Science International: Digital Investigation, Volume 50, 2024, 301802, ISSN 2666-2817 Dan Cooke View Details Load More iGGi Publications for this Theme Previous Next

  • Dissociating haptic feedback from physical assistance does not improve motor performance

    < Back Dissociating haptic feedback from physical assistance does not improve motor performance Link Author(s) E Ivanova, N Pena-Perez, J Eden, Y Yip, E Burdet Abstract More info TBA Link

  • Deep visual instruments: realtime continuous, meaningful human control over deep neural networks for creative expression

    < Back Deep visual instruments: realtime continuous, meaningful human control over deep neural networks for creative expression Link Author(s) M Akten Abstract More info TBA Link

  • Author's declaration

    < Back Author's declaration Link Author(s) D Ratcliffe Abstract More info TBA Link

  • A local approach to forward model learning: Results on the game of life game

    < Back A local approach to forward model learning: Results on the game of life game Link Author(s) SM Lucas, A Dockhorn, V Volz, C Bamford, RD Gaina, I Bravi, ... Abstract More info TBA Link

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The EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (iGGi) is a leading PhD research programme aimed at the Games and Creative Industries.

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