2 code implementations • 29 May 2023 • Alan Pedrassoli Chitayat, Florian Block, James Walker, Anders Drachen
Therefore, the proposed methodology for representing characters can increase the life-spam of machine learning models as well as contribute to a higher performance when compared to traditional techniques typically employed within the literature.
1 code implementation • 3 Aug 2021 • Valerio Bonometti, Mathieu J. Ruiz, Anders Drachen, Alex Wade
Incentive salience attribution can be understood as a psychobiological mechanism ascribing relevance to potentially rewarding objects and actions.
1 code implementation • 27 Apr 2020 • Valerio Bonometti, Charles Ringer, Mathieu Ruiz, Alex Wade, Anders Drachen
In the present work we operationalize engagement mechanistically by linking it directly to human behaviour and show that the construct of engagement can be used for shaping and interpreting data-driven methods.
1 code implementation • 27 May 2019 • Valerio Bonometti, Charles Ringer, Mark Hall, Alex R. Wade, Anders Drachen
The model proposed is very suitable for industry applications since it relies on a minimal set of metrics and observations, scales well with the number of users and is explicitly designed to work across a diverse range of titles.
1 code implementation • 21 May 2019 • Adam Katona, Ryan Spick, Victoria Hodge, Simon Demediuk, Florian Block, Anders Drachen, James Alfred Walker
Even though death events are rare within a game (1\% of the data), the model achieves 0. 377 precision with 0. 725 recall on test data when prompted to predict which of any of the 10 players of either team will die within 5 seconds.
no code implementations • 17 Nov 2017 • Victoria Hodge, Sam Devlin, Nick Sephton, Florian Block, Anders Drachen, Peter Cowling
Given the comparatively limited supply of professional data, a key question is thus whether mixed-rank match datasets can be used to create data-driven models which predict winners in professional matches and provide a simple in-game statistic for viewers and broadcasters.
no code implementations • 12 Jul 2016 • Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Diego Klabjan, Rafet Sifa, Julian Runge
Predicting and improving player retention is crucial to the success of mobile Free-to-Play games.
no code implementations • 24 Mar 2016 • Anders Drachen, Matthew Yancey, John Maguire, Derrek Chu, Iris Yuhui Wang, Tobias Mahlmann, Matthias Schubert, Diego Klabjan
Results indicate that spatio-temporal behavior of MOBA teams is related to team skill, with professional teams having smaller within-team distances and conducting more zone changes than amateur teams.
no code implementations • 24 Mar 2016 • Anders Drachen, Joseph Riley, Shawna Baskin, Diego Klabjan
The in-game economies of massively multi-player online games (MMOGs) are complex systems that have to be carefully designed and managed.