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- Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits
< Back Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits Link Author(s) A Ramesh, P Rauber, M Conserva, J Schmidhuber Abstract More info TBA Link
- Electronic Arts (EA)
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. Electronic Arts (EA)
- 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
- Sam Hughes
< Back Sam Hughes University of York iGGi Alum Affect and Emotion using Immersive Sound in Intelligent Games. (On Industrial Placement with Remedy Entertainment) Recent advances in high definition video displays and 3-D headsets, coupled with motion tracking and biosensor technologies, have enabled video games to reach unprecedented levels of visual immersion and interaction. There is little research however on how the aural feedback of the player, which can help assess their emotional state, can be used to inform the game intelligence and affect the emotive impact of the game. Furthermore, improvements in domestic surround sound and binaural technology are paving the way for fully enveloping and realistic soundtracks that extend the gameplay beyond the visual and can significantly enhance the emotive experience. This research project therefore addresses how current sensor and tracking technologies can be enhanced through analysis of player aural reactions such that the game intelligence can in turn provoke a conditional response via the reproduced soundtrack. In other words, how can the emotional impact of a spatial soundtrack during gameplay be enhanced by the user aural response alongside other physiological detections such as heartbeat and movement? Sam is a sound designer and voice actor who founded the audio journalism site, The Sound Architect™. Sam was selected as one of the first to ever receive the Prince William Scholarship from both BAFTA & Warner Bros. to study MSc Post Production with Sound Design at The University of York where he graduated with a Distinction and a Departmental Award for achieving the Highest Overall Average Grade. Sam has been highly active in the community for years including writing for BAFTA Guru, sitting on the BAFTA Youth Board, running Game Audio North and being an active member of BAFTA Crew Games. Most recently Sam has worked regularly with game audio company Sweet Justice on a variety of titles that include mobile and AAA. Sam’s recent credits include Injustice 2 and Madden NFL 2017. Please note: Updating of profile text in progress Email Mastodon Other links Website https://uk.linkedin.com/in/thesoundarchitect LinkedIn BlueSky Github Themes Player Research - Previous Next
- More than a bit of coding:(un-) Grounded (non-) Theory in HCI
< Back More than a bit of coding:(un-) Grounded (non-) Theory in HCI Link Author(s) T Cole, M Gillies Abstract More info TBA Link
- Dominik Jeurissen
< Back Dominik Jeurissen Queen Mary University of London iGGi PG Researcher Hey, I'm Dominik Jeurissen, and I'm passionate about both software engineering and machine learning, with a particular interest in fully autonomous agents that do not rely on absurd amounts of data. My focus areas include reinforcement learning, unsupervised learning, and the emerging capabilities of large language models. I earned my MSc in Artificial Intelligence from Maastricht University and my BSc in Computer Science with a focus on Applied Mathematics from RWTH Aachen. During my undergraduate studies, I worked as a software engineer at INFORM GmbH, contributing to their supply management software, add*ONE. A description of Dominik's research: My PhD is a collaboration with Creative Assembly , focusing on researching AI for complex strategy games, such as Total War. With the recent emergence of Large Language Models (LLMs), I’m exploring their potential to enhance game-playing agents. LLMs can instantly recall knowledge on almost any topic (though not without occasional errors), perform basic reasoning, and are easily configured for a wide range of text-based tasks. These abilities make them especially promising for game development, where machine learning agents often struggle due to constantly changing game environments. d.jeurissen@qmul.ac.uk Email https://commandercero.github.io/ Mastodon Other links Website https://www.linkedin.com/in/dominik-jeurissen/ LinkedIn https://bsky.app/profile/dominikjeurissen.bsky.social BlueSky https://github.com/CommanderCero Github Supervisors: Dr Diego Pérez-Liébana Dr Jeremy Gow Featured Publication(s): Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Generating Diverse and Competitive Play-Styles for Strategy Games PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Automatic Goal Discovery in Subgoal Monte Carlo Tree Search Game state and action abstracting monte carlo tree search for general strategy game-playing Portfolio search and optimization for general strategy game-playing The Design Of" Stratega": A General Strategy Games Framework Themes Design & Development Game AI Game Data - Previous Next
- Frontline Ventures
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. Frontline Ventures
- Prof Massimo Poesio
< Back Prof. Massimo Poesio Queen Mary University of London Supervisor Massimo Poesio is a cognitive scientist whose primary field is Computational Linguistics / Natural Language Processing. He is interested in the interdisciplinary study of language processing using evidence from computational modelling, corpora, psychological studies, and neuroscience; specific interests include computational models of anaphora resolution (coreference); the study of disagreement on language interpretation through the creation of large corpora containing multiple judgments (an area in which he pioneered the use of games-with-a-purpose with the development of Phrase Detectives, http://www.phrasedetectives.org ); the interpretation of verbal and non-verbal communication in interaction; and the study of conceptual knowledge using a combination of methods from human language technology and neuroscience. He has also been involved in a number of projects applying NLP methods to real life problems, such as detecting deception online, or identifying human rights violations reports in social media. He holds a European Research Council grant on identifying disagreements in language through Games-With-A-Purpose, DALI and is a co-founder of the open access journal Dialogue and Discourse . Using conversational agents in games Applying games to label data for AI Research themes: Game AI Game Design Games with a Purpose m.poesio@qmul.ac.uk Email Mastodon https://sites.google.com/view/massimo-poesio/ Other links Website LinkedIn BlueSky https://github.com/dali-ambiguity Github Themes Applied Games Game AI - Previous Next
- Coupled Kuramoto oscillator-based control laws for both formation and obstacle avoidance control of two-wheeled mobile robots
< Back Coupled Kuramoto oscillator-based control laws for both formation and obstacle avoidance control of two-wheeled mobile robots Link Author(s) K Denamganai, T Nakamura, N Hara, K Konishi Abstract More info TBA Link
- Speeding up genetic algorithm-based game balancing using fitness predictors
< Back Speeding up genetic algorithm-based game balancing using fitness predictors Link Author(s) M Morosan, R Poli Abstract More info TBA Link
- Zoe O Shea
< Back Zoë O’Shea Goldsmiths iGGi PG Researcher Zoë O’Shea is an Irish freelance games designer and artist, working on her thesis in game design and player psychology. Her previous qualifications include 3D Generalism, and an MA in Digital Game Design and Theory. She is endlessly curious about the meaning and value that technology can bring to the world, exploring the human experience as a core principle of her work. She firmly believes in the importance of creating a more joyful and inclusive world. Zoë has previously worked with a range of clients and companies including A Brave Plan, Surgent Studios, Transport for London (TfL) and LEGO. In 2019, Zoë was awarded a Digital Fellowship from the Royal Shakespeare Company (RSC) in collaboration with Magic Leap. Zoë worked with other creatives for a year to explore the future of theatre and Spatial Computing (Mixed Reality). The programme completed in Feb 2020, through the generous support of Magic Leap, the RSC, their technologists, industry partners, i2 Media Research and the University of Portsmouth. Currently, Zoë is working on completing her thesis while offering consultancy services for games and start-ups looking to expand their knowledge in soft aesthetics, tend & befriend game design and immersive technology. A description of Zoë's research: Tend & Befriend: A New Perspective on Player Psychology in Digital Games Many are familiar with the term "fight-or-flight" - a stress response activated when animals come into conflict with a stressor or threat. Less commonly known is "tend & befriend", an alternative theory of stress response which suggests that engaging with tending and affiliative behaviours under duress can soothe and protect us. This thesis investigates this phenomenon in digital games, with a focus on empirical data and design. Results demonstrate a consistent niche in the games industry for "tend & befriend" centric design and the value in synthesising previous design frameworks to create a intentional and polished experience for players. z.oshea@gold.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/meowmentai/ LinkedIn BlueSky Github Supervisor(s): Prof. Richard Bartle Featured Publication(s): The impact of self-representation and consistency in collaborative virtual environments Themes Design & Development Immersive Technology Player Research - Previous Next
- iGGi at Develop:North | iGGi PhD
< Back iGGi at Develop:North As most of you will be aware, the Develop conference has launched a new location this year in the shape of " Develop:North ". Develop:North took place at The Spine in Liverpool on 14 November 2024. Five of our iGGi PG Researchers attended, and here's a summary of the event from one of them - Ross Fifield: "Develop: North was great. The venue was excellent and Tandem did a superb job organising it as always. Registration was easy and there were no issues as far as I can tell. There was a good mix of talks. It was significantly smaller than Brighton, but not unexpectedly so, given that this was their first go. While a couple of the talks were really quite thought provoking, I personally found the networking opportunities particularly helpful. I'm speculating that the organisers will run Develop:North at a slightly larger scale than this year, but regardless of that, I would recommend this conference to all iGGi PGRs and anyone in the UK who is working in games and adjacent fields." iGGi PGRs at Develop:North in Liverpool, 14 November 2024 Previous 15 Nov 2024 Next









