Process and Strategy Mining in Real-Time Strategy Games

Nico Elbert (), Nikolai Stein () and Christoph M. Flath ()
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Nico Elbert: Julius-Maximilians-Universität Würzburg
Nikolai Stein: Julius-Maximilians-Universität Würzburg
Christoph M. Flath: Julius-Maximilians-Universität Würzburg

A chapter in Solutions and Technologies for Responsible Digitalization, 2025, pp 219-233 from Springer

Abstract: Abstract 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.

Keywords: Process mining; Data-driven; Game data; Real-time strategy games (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-80122-8_14

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DOI: 10.1007/978-3-031-80122-8_14

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