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Game Data

How might we analyse the big data exhausts of games to support game developers and understand people inside and outside of games?


Project areas include:

  • Imitation Learning: Using game data from human players we can build AI opponents and team-mates to enhance multi-player games.

  • Comparative Analysis of Games: By comparing data across different games, developers can understand key factors underlying game genres or mechanics, leading to more successful future game designs.

  • Social Dynamics in Games: Studying data from multiplayer games can uncover fascinating insights about social dynamics and cooperation/competition among players.

  • Game Economics: In games with virtual economies, tracking and analysing economic data can help maintain balanced economies, which is crucial for player satisfaction and the longevity of the game.


iGGi >>> People <<< relevant to this Theme:

Prof. David Beer

Prof. David Beer

Supervisor

Player Research, Applied Games, Creative Computing, Game Data, Game AI

Dr Tom Collins

Dr Tom Collins

Supervisor

Game AI, Game Audio, Game Data, Player Research, Esports

Dr Jeremy Gow

Dr Jeremy Gow

Supervisor

Game AI, Creative Computing, Design & Development, Game Data

Yu-Jhen Hsu

Yu-Jhen Hsu

iGGi PG Researcher

Available for placement

Game AI, Game Data

Prof. Paul Cairns

Prof. Paul Cairns

Supervisor

Applied Games, Player Research, Accessibility, Game Data

Prof. Anders Drachen

Prof. Anders Drachen

Supervisor

Player Research, Design & Development, Game Data, Esports

Dr Miles Hansard

Dr Miles Hansard

Supervisor

Game AI, Immersive Technology, Design & Development, Game Data

Dr Patrik Huber

Dr Patrik Huber

Supervisor

Applied Games, Game Data, Immersive Technology, Player Research, Esports

Dr Ignacio Castro

Dr Ignacio Castro

Supervisor

Game AI, Applied Games, Player Research, Game Data

Dr Dan Franks

Dr Dan Franks

Supervisor

Game AI, Game Data

Peyman  Hosseini

Peyman Hosseini

iGGi PG Researcher

Player Research, Game Data

Dominik Jeurissen

Dominik Jeurissen

iGGi PG Researcher

Game AI, Design & Development, Game Data

iGGi >>> Publications <<< relevant to this Theme:

GRACER: Improving the Accuracy of RACER Classifier Using A Greedy Approach

P Hosseini, A Basiri

2022 27th International Computer Conference, Computer Society of Iran (CSICC …, 2022

Generating diverse and competitive play-styles for strategy games

D Perez-Liebana, C Guerrero-Romero, A Dockhorn, L Xu, J Hurtado, ...

2021 IEEE Conference on Games (CoG), 1-8, 2021

Automatic Goal Discovery in Subgoal Monte Carlo Tree Search

D Jeurissen, MHM Winands, CF Sironi, D Perez-Liebana

2021 IEEE Conference on Games (CoG), 1-4, 2021

Portfolio search and optimization for general strategy game-playing

A Dockhorn, J Hurtado-Grueso, D Jeurissen, L Xu, D Perez-Liebana

2021 IEEE Congress on Evolutionary Computation (CEC), 2085-2092, 2021

Game state and action abstracting monte carlo tree search for general strategy game-playing

A Dockhorn, J Hurtado-Grueso, D Jeurissen, L Xu, D Perez-Liebana

2021 IEEE Conference on Games (CoG), 1-8, 2021

MCTS Pruning in Turn-Based Strategy Games.

YJ Hsu, DP Liebana

AIIDE Workshops, 2020

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