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.

中文翻译：

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Bombalytics：炸弹放置游戏中玩家的竞争和协作策略的可视化

竞争和协作在所涉及的代理和对象之间形成复杂的交互模式。只有了解这些交互模式，我们才能揭示参与方应用的策略。在本文中，我们研究了计算机游戏的这种竞争和协作行为。作为人工智能的测试平台，多人炸弹放置游戏 Pommerman 提供了丰富的计算机代理高级行为来源。我们提出了一种可视化方法，可以显示多个游戏的概览，并使用基于时间线的详细可视化来探索每个游戏的细节。由于分析师只有在考虑代理之间的直接和间接交互时才能完全理解数据，因此我们建议对这些交互进行各种视觉编码。