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.
| Original language | English |
|---|---|
| Pages (from-to) | 89-100 |
| Number of pages | 12 |
| Journal | Computer Graphics Forum |
| Volume | 39 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Jun 2020 |
Funding
Shivam Agarwal is indebted to Ankita Bajpai for her feedback on initial designs of the interface. The authors are thankful to the participants of the study. This research was partly funded by MERCUR (project: ?Vergleichende Analyse dynamischer Netzwerkstrukturen im Zusammenspiel statistischer und visueller Methoden?).