DocumentCode :
3399350
Title :
Coevolutionary TEMPO game
Author :
Johnson, Rodney W. ; Melich, Michael E. ; Michalewicz, Zbigniew ; Schmidt, Martin
Author_Institution :
Naval Postgraduate Sch., Wayne E. Meyer Inst. of Syst. Eng., Monterey, CA, USA
Volume :
2
fYear :
2004
fDate :
19-23 June 2004
Firstpage :
1610
Abstract :
We present a description and initial results of a computer code that coevolves fuzzy logic rules to play a two-sided zero-sum competitive game. It is based on the TEMPO military planning game that has been used to teach resource allocation to over 20,000 students over the past 40 years. No feasible algorithm for optimal play is known. The coevolved rules, when pitted against human players, usually win the first few competitions. For reasons not yet understood, the evolved rules (found in a symmetrical competition) place little value on information concerning the play of the opponent but rather focus on exploiting the available weapon systems.
Keywords :
computer games; evolutionary computation; fuzzy logic; game theory; military computing; optimisation; resource allocation; TEMPO military planning game; coevolutionary TEMPO game; computer code; fuzzy logic rules; human players; optimal play; resource allocation; two-sided zero-sum competitive game; weapon system; Computer science; Fuzzy logic; Government; Humans; Investments; Military computing; Resource management; Systems engineering and theory; Uncertainty; Weapons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
Type :
conf
DOI :
10.1109/CEC.2004.1331088
Filename :
1331088
Link To Document :
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