DocumentCode :
3546961
Title :
Multi-objective assessment of pre-optimized build orders exemplified for StarCraft 2
Author :
Kuchem, Matthias ; Preuss, Mike ; Rudolph, Gunter
Author_Institution :
Comput. Intell. Group, Tech. Univ. Dortmund, Dortmund, Germany
fYear :
2013
fDate :
11-13 Aug. 2013
Firstpage :
1
Lastpage :
8
Abstract :
Modern realtime strategy (RTS) games as Star-Craft 2 educe so-called metagames in which the players compete for the best strategies. The metagames of complex RTS games thrive in the absence of apparent dominant strategies, and developers will intervene to adjust the game when such strategies arise in public. However, there are still strategies considered as strong and ones thought of as weak. For the Zerg faction in StarCraft 2, we show how strong strategies can be identified by taking combat strength and economic power into account. The multi-objective perspective enables us to clearly rule out the unfavourable ones of the single optimal build orders and thus selects interesting openings to be tested by real players. By this means, we are e.g. able to explain the success of the recently proposed 7-roach opening. While we demonstrate our approach for StarCraft 2 only, it is of course applicable to other RTS games, given build-order optimization tools exist.
Keywords :
computer games; optimisation; 7-roach opening; StarCraft 2; build-order optimization tools; combat strength; complex RTS games; economic power; metagames; multiobjective assessment; multiobjective perspective; preoptimized build orders; realtime strategy games; single optimal build orders; zerg faction; Artificial intelligence; Buildings; Cognition; Computational intelligence; Economics; Games; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Games (CIG), 2013 IEEE Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
2325-4270
Print_ISBN :
978-1-4673-5308-3
Type :
conf
DOI :
10.1109/CIG.2013.6633626
Filename :
6633626
Link To Document :
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