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