Abstract
In real-time strategy games, resource gathering is a crucial part of constructing an army and becoming victorious. In this paper we present an algorithm for resource gathering and show how accumulated game data can be used to approximate travel times in a real-time strategy game. The algorithm builds upon a queueing system for resource collecting agents and optimises resource gathering by utilising travel times of agents in the game world. We implement the algorithm in the testbed of StarCraft: Brood War and compare it with the built-in method for resource gathering in this game. Experimental results show a gain in the amount of resources gathered when the algorithm is compared to the built-in method. In addition, the results demonstrate better predictability when our approach is used to gather resources for this particular game.
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Christensen, D., Hansen, H.O., Hernandez, J.P.C., Juul-Jensen, L., Kastaniegaard, K., Zeng, Y. (2012). A Data-Driven Approach for Resource Gathering in Real-Time Strategy Games. In: Cao, L., Bazzan, A.L.C., Symeonidis, A.L., Gorodetsky, V.I., Weiss, G., Yu, P.S. (eds) Agents and Data Mining Interaction. ADMI 2011. Lecture Notes in Computer Science(), vol 7103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27609-5_19
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DOI: https://doi.org/10.1007/978-3-642-27609-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27608-8
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