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  • The Basic Needs in Games (BANG) Model of Video Game Play and Mental Health

    < Back The Basic Needs in Games (BANG) Model of Video Game Play and Mental Health Link Author(s) N Ballou, S Deterding Abstract More info TBA Link

  • Simultaneous multi-view object recognition and grasping in open-ended domains

    < Back Simultaneous multi-view object recognition and grasping in open-ended domains Link Author(s) H Kasaei, S Luo, R Sasso, M Kasaei Abstract More info TBA Link

  • Data-Driven Audience Experiences in Esports

    < Back Data-Driven Audience Experiences in Esports Link Author(s) A Kokkinakis, [...] P York, A Pedrassoli Chitayat, [...] B Kirman, J Hook, A Drachen, M Ursu, F Block Abstract More info TBA Link

  • How Could They Win? An Exploration of Win Condition for Esports Narratives

    < Back How Could They Win? An Exploration of Win Condition for Esports Narratives Link Author(s) AP Chitayat, FO Block, JA Walker, A Drachen Abstract More info TBA Link

  • How To Save A World: The Go-Along Interview as Game Preservation Methodology in Wurm Online

    < Back How To Save A World: The Go-Along Interview as Game Preservation Methodology in Wurm Online Link Author(s) F Smith Nicholls, M Cook Abstract More info TBA Link

  • University of California, Santa Cruz

    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. University of California, Santa Cruz

  • How does machine learning affect diversity in evolutionary search? | iGGi PhD

    < Back How does machine learning affect diversity in evolutionary search? Procedural content generation of video games levels has greatly benefited from machine learning. In such complex domains, generative models can provide representation spaces for evolutionary search. But how expressive are such learned models? How many different levels would they be able to produce? A new paper, co-authored by IGGI PhD researcher Sebastian Berns and Professor Simon Colton, looks at the limitations of generative models in the context of multi-solution optimisation. The work will be presented at the Genetic and Evolutionary Computation Conference (GECCO) and is nominated for a best paper award . The study shows that quality diversity (QD) search in the latent space of a variational auto-encoder yields a solution set of lower diversity than in a manually-defined genetic parameter space. The authors find that learned latent spaces are useful for the comparison of artefacts and recommend their use for distance and similarity estimation. However, whenever a parametric search space is obtainable, it should be preferred over a learned representation space as it produces a higher diversity of solutions. Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton & Thomas Bäck. (2021). Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search. In Proceedings of the Genetic and Evolutionary Computation Conference. Pre-print available on arXiv https://arxiv.org/abs/2105.04247Accompanying code repository available on Github https://github.com/alexander-hagg/ExpressivityGECCO2021 Previous 27 Jun 2021 Next

  • Fnatic Limited

    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. Fnatic Limited

  • The Dark Side of Game Jams

    < Back The Dark Side of Game Jams Link Author(s) N Wearn, G Lai 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

  • Synthesising Knocking Sound Effects Using Conditional WaveGAN

    < Back Synthesising Knocking Sound Effects Using Conditional WaveGAN Link Author(s) A Barahona-Rıos, S Pauletto Abstract More info TBA Link

  • AI and Games

    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. AI and Games

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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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