TY - GEN
T1 - Strategy development by genetic programming
AU - Sun, Koun Tem
AU - Lin, Yi Chun
AU - Wu, Cheng Yen
AU - Huang, Yueh-Min
PY - 2007/12/1
Y1 - 2007/12/1
N2 - In this paper, we will apply genetic programming (GP) technique to develop two strategies: the ghost (attacker) and players (survivors) in the Traffic Light Game (a popular game among children). These two strategies are competing for each other. By applying GP, each one strategy is used as an "imaginary enemy" to evolve (train) another strategy. Based on this co-evolution process, the final developed strategies: the ghost can effectively capture the players, and the players can also escape from the ghost, rescue partners and detour the obstacles. Part of developed strategies had achieved success beyond our wildest dreams. The results encourage us to develop more complex strategies or cooperative models such as human learning models, the cooperative models of robot, and self-learning of virtual agents.
AB - In this paper, we will apply genetic programming (GP) technique to develop two strategies: the ghost (attacker) and players (survivors) in the Traffic Light Game (a popular game among children). These two strategies are competing for each other. By applying GP, each one strategy is used as an "imaginary enemy" to evolve (train) another strategy. Based on this co-evolution process, the final developed strategies: the ghost can effectively capture the players, and the players can also escape from the ghost, rescue partners and detour the obstacles. Part of developed strategies had achieved success beyond our wildest dreams. The results encourage us to develop more complex strategies or cooperative models such as human learning models, the cooperative models of robot, and self-learning of virtual agents.
UR - http://www.scopus.com/inward/record.url?scp=38049055297&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38049055297&partnerID=8YFLogxK
U2 - 10.1109/ICNC.2007.683
DO - 10.1109/ICNC.2007.683
M3 - Conference contribution
AN - SCOPUS:38049055297
SN - 0769528759
SN - 9780769528755
T3 - Proceedings - Third International Conference on Natural Computation, ICNC 2007
SP - 68
EP - 72
BT - Proceedings - Third International Conference on Natural Computation, ICNC 2007
T2 - 3rd International Conference on Natural Computation, ICNC 2007
Y2 - 24 August 2007 through 27 August 2007
ER -