Title :
Coevolving strategic intelligence
Author :
Avery, Phillipa M. ; Greenwood, Garrison W. ; Michalewicz, Zbigniew
Author_Institution :
Dept. of Comput. Sci., Univ. of Adelaide, Adelaide, SA
Abstract :
Strategic decision making done in parallel with the opposition makes it difficult to predict the oppositionpsilas strategy. An important aspect in deciding a move is evaluating your opponentpsilas past moves and using them to predict future movement. In the game of TEMPO this is done through the purchase of intelligence, which gives you a relative view of your opponentpsilas choices. The research presented here seeks to evaluate the way this intelligence is used in the current game, and present an alternative method of representation. This alternate mechanism is then used in a co evolutionary system to obtain a computer player that will self-learn the importance of using opposition data in strategic decision making.
Keywords :
decision making; military computing; TEMPO; coevolutionary system; coevolving strategic intelligence; strategic decision making; Computer science; Decision making; Game theory; Helium; Logistics; Military computing; Process planning; Resource management; Strategic planning; Weapons;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631274