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- Hexboard: A generic game framework for turn-based strategy games
< Back Hexboard: A generic game framework for turn-based strategy games Link Author(s) J Walton-Rivers, PR Williams, R Bartle Abstract More info TBA Link
- Intrinsic Motivation in Computational Creativity Applied to Videogames. PhD Thesis. 306 pages.
< Back Intrinsic Motivation in Computational Creativity Applied to Videogames. PhD Thesis. 306 pages. Link Author(s) C Guckelsberger Abstract More info TBA Link
- Deep Learning for the Synthesis of Sound Effects
< Back Deep Learning for the Synthesis of Sound Effects Link Author(s) A Barahona-Rios Abstract More info TBA Link
- Utrecht University
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. Utrecht University
- Graz University of Technology
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. Graz University of Technology
- Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search
< Back Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search Link Author(s) M Tot, M Conserva, DP Liebana, S Devlin Abstract More info TBA Link
- Fusebox
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. Fusebox
- Sumo Digital
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. Sumo Digital
- Artificial intelligence across europe: A study on awareness, attitude and trust
< Back Artificial intelligence across europe: A study on awareness, attitude and trust Link Author(s) Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris Abstract More info TBA Link
- An appraisal-based chain-of-emotion architecture for affective language model game agents
< Back An appraisal-based chain-of-emotion architecture for affective language model game agents Link Author(s) M Croissant, M Frister, G Schofield, C McCall Abstract More info TBA Link
- Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data
< Back Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data Link Author(s) D Zendle, C Flick, D Halgarth, N Ballou, S Demediuk, A Drachen Abstract More info TBA Link
- Cost-Effective Attention Mechanisms for Low Resource Settings: Necessity & Sufficiency of Linear Transformations
< Back Cost-Effective Attention Mechanisms for Low Resource Settings: Necessity & Sufficiency of Linear Transformations Link Author(s) P Hosseini, M Hosseini, I Castro, M Purver Abstract More info TBA Link





