DocumentCode :
1840361
Title :
Intelligent moving of groups in real-time strategy games
Author :
Danielsiek, Holger ; Stüer, Raphael ; Thom, Andreas ; Beume, Nicola ; Naujoks, Boris ; Preuss, Mike
Author_Institution :
Comput. Intell. Group, Tech. Univ. Dortmund, Dortmund
fYear :
2008
fDate :
15-18 Dec. 2008
Firstpage :
71
Lastpage :
78
Abstract :
This paper investigates the intelligent moving and path-finding of groups in real-time strategy (RTS) games exemplified by the open source game Glest. We utilize the technique of flocking for achieving a smooth and natural movement of a group of units and expect grouping to decrease the amount of unit losses in RTS games. Furthermore, we present a setting in which flocking will improve the game progress. But we also demonstrate a situation where flocking fails. To prevent these annoying situations, we combined flocking with influence maps (IM) to find safe paths for the flock in real time. This combination turns out to be an excellent alternative to normal movement in Glest and most likely in other RTS games.
Keywords :
biology computing; game theory; public domain software; RTS games; flocking fails; influence maps; open source game; path-finding; real-time strategy games; Artificial intelligence; Artificial neural networks; Assembly; Computational intelligence; Computer science; Evolutionary computation; Filters; Humans; Self organizing feature maps; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-2973-8
Electronic_ISBN :
978-1-4244-2974-5
Type :
conf
DOI :
10.1109/CIG.2008.5035623
Filename :
5035623
Link To Document :
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