Title :
Generating war game strategies using a genetic algorithm
Author :
Revello, Timothy E. ; McCartney, Robert
Author_Institution :
Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
Unlike most games which have fixed rules, the rules for war games can contain uncertainty. This uncertainty makes war games difficult to address with methods typically used for playing games by machine. The characteristics of war games match well with the domain for which genetic algorithms are effective. We explore the use of genetic algorithms for generating war game strategies
Keywords :
games of skill; genetic algorithms; military computing; uncertainty handling; evolutionary computation; experiment; genetic algorithm; military organizations; rules; uncertainty; war game strategy generation; Computer science; Decision making; Game theory; Genetic algorithms; History; Military computing; Problem-solving; State-space methods; Tiles; Uncertainty;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004394