# Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game

Computer Graphics Forum, 2020

Abstract:

Competition and collaboration form complex interaction patterns between the agents and objects involved. Only by understanding these interaction patterns, we can reveal the strategies the participating parties applied. In this paper, we study such competition and collaboration behavior for a computer game. Serving as a testbed for artificial intelligence, the multiplayer bomb laying game Pommerman provides a rich source of advanced behavior of computer agents. We propose a visualization approach that shows an overview of multiple games, with a detailed timeline-based visualization for exploring the specifics of each game. Since an analyst can only fully understand the data when considering the direct and indirect interactions between agents, we suggest various visual encodings of these interactions. Based on feedback from expert users and an application example, we demonstrate that the approach helps identify central competition strategies and provides insights on collaboration.

Paper PDF Demo Code/Suppl. Material DOI GitHub

To cite: Shivam Agarwal, Günter Wallner, Fabian Beck, "Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game" Computer Graphics Forum, 2020. doi:10.1111/cgf.13965

BibTeX:

@article{Agarwal2020Bombalytics,
author = {Agarwal, Shivam and Wallner, Günter and Beck, Fabian},
title = {Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game},
pages = {89--100},
journal = {Computer Graphics Forum},
volume = {39},
number = {3},
issn = {1467-8659},
doi = {doi:10.1111/cgf.13965},
abstract = {Competition and collaboration form complex interaction patterns between the agents and objects involved. Only by understanding these interaction patterns, we can reveal the strategies the participating parties applied. In this paper, we study such competition and collaboration behavior for a computer game. Serving as a testbed for artificial intelligence, the multiplayer bomb laying game Pommerman provides a rich source of advanced behavior of computer agents. We propose a visualization approach that shows an overview of multiple games, with a detailed timeline-based visualization for exploring the specifics of each game. Since an analyst can only fully understand the data when considering the direct and indirect interactions between agents, we suggest various visual encodings of these interactions. Based on feedback from expert users and an application example, we demonstrate that the approach helps identify central competition strategies and provides insights on collaboration.},
url = {https://dx.doi.org/doi:10.1111/cgf.13965},
year = {2020}
}