2008 IEEE Symposium on Computational Intelligence and Games 2008
DOI: 10.1109/cig.2008.5035622
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Intelligent anti-grouping in real-time strategy games

Abstract: Abstract-Assembling suitable groups of fighting units to combat incoming enemy groups is a tactical necessity in realtime strategy (RTS) games. Furthermore it heavily influences future strategic decisions like unit building. Here, we demonstrate how to efficiently (offline) solve the problem of finding matches for the current enemy group(s) based on self-organizing maps (SOMs), powered by a simple evolutionary algorithm. The concept is implemented and thoroughly experimentally investigated in the RTS game Gles… Show more

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Cited by 11 publications
(2 citation statements)
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“…SPOT was successfully applied to numerous optimization algorithms, especially in the field of evolutionary computation, e.g., evolution strategies, particle swarm optimization or genetic programming. It was applied in various domains, e.g., machine engineering, the aerospace industry, bioinformatics, CI and games as well as in fundamental research (Beume et al, 2008;Henrich et al, 2008;Lucas and Roosen, 2009;Preuss et al, 2007;Fialho et al, 2009;Fober et al, 2009;Stoean et al, 2009;Hutter et al, 2010).…”
Section: A Considering Parameter Settingsmentioning
confidence: 98%
“…SPOT was successfully applied to numerous optimization algorithms, especially in the field of evolutionary computation, e.g., evolution strategies, particle swarm optimization or genetic programming. It was applied in various domains, e.g., machine engineering, the aerospace industry, bioinformatics, CI and games as well as in fundamental research (Beume et al, 2008;Henrich et al, 2008;Lucas and Roosen, 2009;Preuss et al, 2007;Fialho et al, 2009;Fober et al, 2009;Stoean et al, 2009;Hutter et al, 2010).…”
Section: A Considering Parameter Settingsmentioning
confidence: 98%
“…Qualitative spatial reasoning (QSR) techniques can be used to reduce complex spatial states (e.g., using abstract representations of the space [5]). Regarding evolutionary techniques, a number of biologically-inspired algorithms and multiagent based methods have already been applied to handle many of the mentioned problems in the implementation of RTS games [6][7][8][9][10][11][12][13].…”
Section: Introduction and Related Workmentioning
confidence: 99%