DocumentCode :
2278082
Title :
Learning group behavior in games: Using Cultural Algorithms: The land bridge game engine example
Author :
Vitale, Kevin ; O´Shea, John ; Reynold, Robert G. ; Che, Xiangdong
Author_Institution :
Comput. Sci. Dept., Wayne State Univ., Detroit, MI, USA
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
1
Lastpage :
9
Abstract :
The L-CAPS system is a functional interface for learning group behavior using Cultural Algorithms in the land bridge simulation example. It enables the Cultural Algorithms process to implicitly communicate with, modify and evaluate, autonomous game agents restricted to an external virtual world. The L-CAPS system is described and used to learn the group behavior of caribou herds in the virtual world.
Keywords :
computer games; cultural aspects; multi-agent systems; social aspects of automation; user interfaces; L-CAPS system; autonomous game agents; caribou herds group behavior; cultural algorithms; external virtual world; functional interface; land bridge game engine; land bridge simulation example; learning group behavior; Bridges; Cultural differences; Engines; Games; Lakes; Real time systems; Three dimensional displays; Crowd Behavior; Cultural Algorithm; Multi-agent Simulation; Serious Games;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Swarm Intelligence (SIS), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-053-6
Type :
conf
DOI :
10.1109/SIS.2011.5952573
Filename :
5952573
Link To Document :
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