DocumentCode :
58649
Title :
A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft
Author :
Ontanon, Santiago ; Synnaeve, Gabriel ; Uriarte, Alberto ; Richoux, Florian ; Churchill, David ; Preuss, Mike
Author_Institution :
Comput. Sci. Dept., Drexel Univ., Philadelphia, PA, USA
Volume :
5
Issue :
4
fYear :
2013
fDate :
Dec. 2013
Firstpage :
293
Lastpage :
311
Abstract :
This paper presents an overview of the existing work on AI for real-time strategy (RTS) games. Specifically, we focus on the work around the game StarCraft, which has emerged in the past few years as the unified test bed for this research. We describe the specific AI challenges posed by RTS games, and overview the solutions that have been explored to address them. Additionally, we also present a summary of the results of the recent StarCraft AI competitions, describing the architectures used by the participants. Finally, we conclude with a discussion emphasizing which problems in the context of RTS game AI have been solved, and which remain open.
Keywords :
artificial intelligence; computer games; real-time systems; RTS games; StarCraft AI competitions; real-time strategy game AI research; Artificial intelligence; Buildings; Cognition; Games; Planning; Real-time systems; Uncertainty; Game AI; StarCraft; real-time strategy; review1;
fLanguage :
English
Journal_Title :
Computational Intelligence and AI in Games, IEEE Transactions on
Publisher :
ieee
ISSN :
1943-068X
Type :
jour
DOI :
10.1109/TCIAIG.2013.2286295
Filename :
6637024
Link To Document :
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