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  • Practical Game Design Tool: State Explorer

    < Back Practical Game Design Tool: State Explorer Link Author(s) R Volkovas, M Fairbank, JR Woodward, S Lucas Abstract More info TBA Link

  • Archaeological Gameworld Affordances: A Grounded Theory of How Players Interpret Environmental Storytelling

    < Back Archaeological Gameworld Affordances: A Grounded Theory of How Players Interpret Environmental Storytelling Link Author(s) F Smith Nicholls, M Cook Abstract More info TBA Link

  • You Need to Pay Better Attention: Rethinking the Mathematics of Attention Mechanism

    < Back You Need to Pay Better Attention: Rethinking the Mathematics of Attention Mechanism Link Author(s) M Hosseini, P Hosseini Abstract More info TBA Link

  • Spirit AI

    iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Spirit AI

  • Predicting game difficulty and engagement using AI players

    < Back Predicting game difficulty and engagement using AI players Link Author(s) S Roohi, C Guckelsberger, A Relas, H Heiskanen, J Takatalo, ... Abstract More info TBA Link

  • Optimising level generators for general video game AI

    < Back Optimising level generators for general video game AI Link Author(s) O Drageset, MHM Winands, RD Gaina, D Perez-Liebana Abstract More info TBA Link

  • Illuminating Super Mario Bros: quality-diversity within platformer level generation

    < Back Illuminating Super Mario Bros: quality-diversity within platformer level generation Link Author(s) O Withington Abstract More info TBA Link

  • Splash Damage

    iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Splash Damage

  • Validation and Prioritization of Design Options for Accessible Player Experiences

    < Back Validation and Prioritization of Design Options for Accessible Player Experiences Link Author(s) C Power, P Cairns, M Barlet, G Haynes, J Beeston, T DeHaven Abstract More info TBA Link

  • Active Divergence with Generative Deep Learning--A Survey and Taxonomy

    < Back Active Divergence with Generative Deep Learning--A Survey and Taxonomy Link Author(s) T Broad, S Berns, S Colton, M Grierson Abstract More info TBA Link

  • Real-time interactive sequence generation and control with Recurrent Neural Network ensembles

    < Back Real-time interactive sequence generation and control with Recurrent Neural Network ensembles Link Author(s) M Akten, M Grierson Abstract More info TBA Link

  • IoT and Machine Learning for Next Generation Traffic Systems

    < Back IoT and Machine Learning for Next Generation Traffic Systems Link Author(s) S Howell, S Cole, T Broad, T Maatta 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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