Title :
Reactive strategy choice in StarCraft by means of Fuzzy Control
Author :
Preuss, Mike ; Kozakowski, Daniel ; Hagelback, Johan ; Trautmann, Heike
Abstract :
Current StarCraft bots are not very flexible in their strategy choice, most of them just follow a manually optimized one, usually a rush. We suggest a method of augmenting existing bots via Fuzzy Control in order to make them react on the current game situation. According to the available information, the best matching of a pool of strategies is chosen. While the method is very general and can be applied easily to many bots, we implement it for the existing BTHAI bot and show experimentally how the modifications affects its gameplay, and how it is improved compared to the original version.
Keywords :
artificial intelligence; computer games; fuzzy control; BTHAI bot; StarCraft bots; fuzzy control; game situation; gameplay; reactive strategy choice; strategy pool; Artificial intelligence; Buildings; Computer architecture; Detectors; Fuzzy logic; Games; Pragmatics;
Conference_Titel :
Computational Intelligence in Games (CIG), 2013 IEEE Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4673-5308-3
DOI :
10.1109/CIG.2013.6633627
