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In this study, we introduce a data-driven approach for process mining in real-time strategy (RTS) games, which serve as a proxy for corporate decision processes. By analyzing decision sequences in gaming environments, we uncover strategic behaviors impacting performance and match outcomes. Our methodology leverages game data, enriching process mining research and providing implications for strategic planning in business process management.

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Process and Strategy Mining in Real-Time Strategy Games

  • 会议论文

  • 发表日期：

    2025年

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  • Nico Elbert,
  • Nikolai Stein,
  • Christoph M. Flath

摘要

In this study, we introduce a data-driven approach for process mining in real-time strategy (RTS) games, which serve as a proxy for corporate decision processes. By analyzing decision sequences in gaming environments, we uncover strategic behaviors impacting performance and match outcomes. Our methodology leverages game data, enriching process mining research and providing implications for strategic planning in business process management.