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< Back iGGi Essex is located two miles from the historic city of Colchester and set in over 200 acres of beautiful parkland. iGGi is a consortium of four universities or sites: the University of York (York), Queen Mary University of London (QMUL), Goldsmiths, University of London (Goldsmiths), and the University of Essex (Essex). iGGi received funding in two phases: “iGGi 1” funded the first five cohorts of researchers across York, QMUL, Goldsmiths, and Essex and PGR intake spans from 2014 to 2018; “iGGi 2” started in 2019 with funding for a further five cohorts, this time only at York and QMUL. One of the "Essex iGGis" from the iGGi 1 funding round is still in the process of completing their PhD work. Essex is therefore still listed here as an active iGGi site, even though future iGGi main events such as the iGGi Conference and the iGGi Game Jam will take place at one of the iGGi 2 sites, i.e., either York or QMUL. iGGi Essex is part of the University of Essex's School of Computer Science and Electronic Engineering . You can find the University of Essex campus map in the gallery below. University of Essex (UoE) iGGi Essex Gallery University of Essex Colchester Campus University of Essex Campus Map Colchester Campus, University of Essex Previous Next

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. The AbleGamers Charity

< Back iGGi Talk at Develop:Brighton - Dominik Jeurissen iGGi PG Researcher Dominik Jeurissen held a talk on " LLM Agents For QA - Potential & Limitations " at this year's Develop:Brighton conference. Abstract: With tight deadlines and a constantly evolving game, properly testing a game is challenging. Using AI agents to simplify this work sounds promising, but machine learning is often too slow, and manually implementing the agents takes time. As such, one particularly exciting application for QA is to use Large Language Models (LLMs) as zero-shot game-playing agents. LLM-based agents can play games without pre-training, making them a valuable asset to test a constantly changing game. But how well do they play games? What are their strengths, and what do they struggle with? In this session, we will review how to implement zero-shot agents with LLMs and show examples of existing LLM-based game-playing agents. We will also show that although these agents have many limitations, they have the potential to be a valuable tool for QA to automate many repetitive tasks. The objectives of Dominik's talk were to provide the audience with an overview of the cutting-edge research on LLM-based zero-shot game-playing agents show what these agents can do well and what their limitations are give practical tips on how to utilize LLM agents as QA tools Dominik's talk has been recorded and will be made available to Develop ticket holders. Please contact Dominik directly if you have any queries regarding the presentation. Previous 11 Jul 2024 Next

Novelty Optimisation Theme Creative Computing Project proposed & supervised by Jeremy Gow, Sebastian Deterding To discuss whether this project could become your PhD proposal please email: jeremy.gow@qmul.ac.uk < Back Novelty Optimisation Project proposal abstract: New levels, new characters, new items, new opponents: Novelty is a major game feature stoking sustained player curiosity and interest. Too much repetition, and players get bored. But is there such a thing as too much novelty? Games already do automatic difficulty balancing – finding just the right level of challenge. Can we do the same for novelty – identify and automatically balance the right amount of novel content we serve to players? This project would benefit from a computational methods background, such as computational psychology, cognitive science, machine learning, or procedural content generation, and an interest in player psychology. Supervisor: Jeremy Gow , Sebastian Deterding Based at:

< Back Searching for an (un) stable equilibrium: experiments in training generative models without data Link Author(s) T Broad, M Grierson 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. Georgia Institute of Technology

< Back Evaluating the Effects on Monte Carlo Tree Search of Predicting Co-operative Agent Behaviour Link Author(s) J Walton-Rivers Abstract More info TBA Link

< Back Reforms to improve reproducibility and quality must be coordinated across the research ecosystem: the view from the UKRN Local Network Leads Link Author(s) SLK Stewart, CR Pennington, GR da Silva, N Ballou, J Butler, Z Dienes, ... Abstract More info TBA Link

< Back Four grand challenges for video game effects scholars: How digital trace data can improve the way we study games Link Author(s) D Zendle, N Ballou, J Cutting, E Petrovskaya Abstract More info TBA Link

< Back Optimality Principles in the Procedural Generation of Graffiti Style Link Author(s) D Berio, FF Leymarie, S Calinon Abstract More info TBA Link

< Back Measuring Randomness in Tabletop Games Link Author(s) J Goodman, D Perez-Liebana, S Lucas 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. Ubisoft Massive Entertainment