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< Back Lateralization of impedance control in dynamic versus static bimanual tasks Link Author(s) N Pena-Perez, J Eden, I Farkhatdinov, E Burdet, A Takagi Abstract More info TBA Link

Evolving Perception for Game Agents Theme Game AI Project proposed & supervised by Alex Wade, Peter Cowling To discuss whether this project could become your PhD proposal please email: alex.wade@york.ac.uk < Back Evolving Perception for Game Agents Project proposal abstract: How does perception emerge? Hugely successful approaches to creating AI game playing agents such as MuZero, AlphaGo and AlphaStar learn the action to take in each state alongside a representation of the world to aid learning. For MuZero, AlphaGo and AlphaStar the representation is a prior distribution on how promising each move is in a given board position. The prior distribution can be seen as a highly effective way to perceive and simplify the game world, for greater decision-making fitness. In this project we will create game agents, for open world games such as Minecraft, which start from rudimentary sensors and simultaneously evolve a world representation while learning to make decisions leading to high fitness in the game world. We will investigate important scientific questions about how perception has evolved in humans, alongside creating interesting agents which might exhibit very weird and "alien" behaviours. Our internal representation of the world is conditioned both by evolution (for example, the physiology of the eye and brain) and also by learned experience. What sorts of perceptual systems might artificial agents develop in a simulated world? In this project we will develop simple 'open world' games into which we will release software agents with rudimentary sensory systems, possibly alongside human-controlled agents. These agents will be able to sense their world but not, initially, to perceive it (since perception is a combination of sensing and interpretation ). Both the sensory apparatus and the structure of the machine learning networks will be free to evolve (through genetic algorithms and reinforcement learning). Each generation will need to undergo a period of 'development' to train its networks on the current environment. We seek a motivated and talented student with a creative approach to research and skills in some of AI/machine learning, programming/game design, psychology/neuroscience and data analysis, and a willingness to learn new skills as necessary. Some travel to other international labs with an interest in this space may be possible. Supervisor: Alex Wade , Peter Cowling Based at:

< Back Studying General Agents in Video Games from the Perspective of Player Experience Link Author(s) C Guerrero-Romero, S Kumari, D Perez-Liebana, S Deterding Abstract More info TBA Link

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. Metropolitan Autonomous University

< Back iGGi conference 2021 Mark the date for our next IGGI Conference: 08 - 09 September 2021 PhD students discuss and showcase their research into new technologies and directions for games.Come along and find out about new ideas, meet future employees, and steer the direction of research in the world’s largest games PhD programme. Click for Tickets and more info here - coming soon Previous 8 Jul 2021 Next

< Back Genetic optimisation of BCI systems for identifying games related cognitive states Link Author(s) A Iacob, M Morosan, F Sepulveda, R Poli Abstract More info TBA Link

< Back "These People Had Taken Advantage of Me”: A Grounded Theory of Problematic Consequences of Player Interaction with Mobile Games Perceived as “Designed to Drive Spending" Link Author(s) E Petrovskaya, D Zendle Abstract More info TBA Link

< Back Beyond playing to win: Diversifying heuristics for GVGAI Link Author(s) C Guerrero-Romero, A Louis, D Perez-Liebana Abstract More info TBA Link

< Back The need for the human-centred explanation for ML-based clinical decision support systems Link Author(s) Y Jia, JA McDermid, N Hughes, MA Sujan, T Lawton, I Habli Abstract More info TBA Link

< Back Gplayer Link Author(s) N Pedersen, A Canossa, G Lai Abstract More info TBA Link

< Back NEST 2.18. 0 Link Author(s) J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, S Berns, ... Abstract More info TBA Link

< Back The design of a clicker game for text labelling Link Author(s) C Madge, R Bartle, J Chamberlain, U Kruschwitz, M Poesio Abstract More info TBA Link