top of page

Search Results

Results found for ""

  • Rinascimento: Playing Splendor-Like Games With Event-Value Functions

    < Back Rinascimento: Playing Splendor-Like Games With Event-Value Functions Link ​ Author(s) I Bravi, S Lucas Abstract ​ More info TBA ​ Link

  • BlitzGame Studios

    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. BlitzGame Studios

  • Playing with evolution

    < Back Playing with evolution Link ​ Author(s) RD Gaina Abstract ​ More info TBA ​ Link

  • Dr Anthony Constantinou

    < Back ​ Dr Anthony Constantinou Queen Mary University of London ​ Supervisor ​ ​ Anthony Constantinou’s research is on Bayesian Artificial Intelligence for causal discovery and intelligent decision making under uncertainty. He applies his research to a wide range of areas, including gaming, sports, medicine and finance. He is the founder of the Bayesian Artificial Intelligence research lab at Queen Mary University of London. He is interested in supervising students who are interested in working with machine learning algorithms that discover causal relationships from data (applied to game data), or building intelligent decision-making models using Bayesian networks (applied to game data). Please note that these projects focus on working with game data. Students interested in these projects should have skills that are relevant to: Machine learning for causal discovery Bayesian networks Statistics and probability theory ​ a.constantinou@qmul.ac.uk Email Mastodon https://www.constantinou.info Other links Website https://www.linkedin.com/in/anthony-c-constantinou-728b6b49/ LinkedIn https://twitter.com/ACConstantinou Twitter Github ​ ​ Themes Game AI - Previous Next

  • Sunny Thaicharoen

    < Back ​ Sunny Thaicharoen Queen Mary University of London ​ iGGi PG Researcher ​ Available for placement Sunny is a passionate esports enthusiast, with a love of MOBA games. His background is in engineering and entrepreneurship, with a Master of Technology Entrepreneurship degree from University College London. He is the creator of YGOscope, a statistical game data platform for a competitive card game, Yu-Gi-Oh. Sunny is an avid player of competitive Dota in his spare time, and is also a keen theme park enthusiast. He is interested in modelling metagames of MOBAs through game data and player research, particularly how players adopt the most effective strategies when changes to the stable gameplay state occurs. A description of Sunny's research: The project focuses on how the META - most effective tactics available - of MOBA games shift during disruption (usually through gameplay updates) between states of ignorance and stability within the player space of these games, to deepen our understanding of how players adapt to the changes that these gameplay updates cause, and why. There is a large degree of variability of how new METAs develops, and currently there is little research on the meta and metagame front. Available research so far has been based on defining the phenomena and resulting effects of gameplay updates, but little modelling has been done to attempt bring these fragmented pieces of knowledge together and attempt to structure them. The study and structuring of this phenomena can be an ideal starting point in understanding how effective strategies develop not only in MOBAs or video games, but any other competitive games such as chess, trading card games or sports. ​ t.thaicharoen@qmul.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/thaicharoens/ LinkedIn https://twitter.com/thaicharoens Twitter https://github.com/thaicharoens Github Supervisors: Prof. Anders Drachen Dr Jeremy Gow Featured Publication(s): An ecosystem framework for the meta in esport games Themes Esports Game Data Player Research - Previous Next

  • Interactive generation of calligraphic trajectories from Gaussian mixtures

    < Back Interactive generation of calligraphic trajectories from Gaussian mixtures Link ​ Author(s) D Berio, FF Leymarie, S Calinon Abstract ​ More info TBA ​ Link

  • Metagame Autobalancing for Competitive Multiplayer Games

    < Back Metagame Autobalancing for Competitive Multiplayer Games Link ​ Author(s) D Hernandez, CTT Gbadamosi, J Goodman, JA Walker Abstract ​ More info TBA ​ Link

  • Population seeding techniques for rolling horizon evolution in general video game playing

    < Back Population seeding techniques for rolling horizon evolution in general video game playing Link ​ Author(s) RD Gaina, SM Lucas, D Perez-Liebana Abstract ​ More info TBA ​ Link

  • Coming up: iGGi Open Day! | iGGi PhD

    < Back Coming up: iGGi Open Day! Coming Up: iGGi Open Day! To all prospective Applicants to iGGi: Don’t forget to register for our *in-person* Open Day (if you can make it) >> iGGi OPEN DAY << at University of York (Village East) and Queen Mary University of London (Whitechapel Campus) Tuesday 10 Jan 2023, 12:00-15:30 Come along to meet iGGi Researchers/Supervisors/Staff in person Schedule + REGISTRATION: >> for York here: https://tinyurl.com/yvwpp5bz >> for London here: https://tinyurl.com/bdcr3xfy We look forward to meeting you! *The photo is from our recent Game AI Group December Party!! at Empire House (QMUL Whitechapel Campus) ​ Previous 20 Dec 2022 Next

  • Autohighlight: Highlight Detection in League of Legends Esports Broadcasts via Crowd-Sourced Data

    < Back Autohighlight: Highlight Detection in League of Legends Esports Broadcasts via Crowd-Sourced Data Link ​ Author(s) C Ringer, M Nicolaou, JA Walker Abstract ​ More info TBA ​ Link

  • Emotional and functional challenge in core and avant-garde games

    < Back Emotional and functional challenge in core and avant-garde games Link ​ Author(s) T Cole, P Cairns, M Gillies Abstract ​ More info TBA ​ Link

  • Mark the Date! iGGi Con 2024 - 11+12 Sep | iGGi PhD

    < Back Mark the Date! iGGi Con 2024 - 11+12 Sep The iGGi Conference is the annual showcase of our 60+ PhD Researchers, allowing a birds-eye view into their work, and a chance to bring academic research, innovation and the games industry together. Following the success of the conferences in 2022 and 2023, the iGGi Con 2024 will take place at the University of York. More information to follow in a few months. ​ Previous 20 Oct 2023 Next

bottom of page