TY - GEN
T1 - A distributed computing framework for parallelization of coevolution in multi-sided conflicts
AU - Al-Motlak, Rami
AU - Rozenblit, Jerzy W.
AU - Momen, Faisal
PY - 2009
Y1 - 2009
N2 - A large number of military simulation systems dealing with warfare and games with coordinated missions can be described as multi-sided conflicts. These systems usually involve groups sharing various alliances and relationships, each pursuing a range of different goals. A coevolutionary approach in modeling the dynamics of such complex systems allows all sides of the conflict to evolve their strategies or courses of action. The coevolutionary approach used in Sheherazade [9], a multi-sided simulation environment for Stability and Support Operations (SASO), allows each side to evolve strategies in turns against other strategies captured from the other sides. In such systems, the greater the number of plans that are evaluated, the better the final alternatives are likely to be. To improve the speed and efficiency in generating strategies, a distributed computing modular framework based on the coevolutionary approach used in Sheherazade was designed and implemented to provide the following salient features: provide a more natural model of how different sides interact in a conflict, parallelize the generation of strategies by the different sides, and improve performance by utilizing network computing capabilities.
AB - A large number of military simulation systems dealing with warfare and games with coordinated missions can be described as multi-sided conflicts. These systems usually involve groups sharing various alliances and relationships, each pursuing a range of different goals. A coevolutionary approach in modeling the dynamics of such complex systems allows all sides of the conflict to evolve their strategies or courses of action. The coevolutionary approach used in Sheherazade [9], a multi-sided simulation environment for Stability and Support Operations (SASO), allows each side to evolve strategies in turns against other strategies captured from the other sides. In such systems, the greater the number of plans that are evaluated, the better the final alternatives are likely to be. To improve the speed and efficiency in generating strategies, a distributed computing modular framework based on the coevolutionary approach used in Sheherazade was designed and implemented to provide the following salient features: provide a more natural model of how different sides interact in a conflict, parallelize the generation of strategies by the different sides, and improve performance by utilizing network computing capabilities.
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U2 - 10.1109/ECBS.2009.37
DO - 10.1109/ECBS.2009.37
M3 - Conference contribution
AN - SCOPUS:67650269883
SN - 9780769536026
T3 - Proceedings of the International Symposium and Workshop on Engineering of Computer Based Systems
SP - 215
EP - 224
BT - Proceedings - 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems, ECBS 2009
T2 - 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems, ECBS 2009
Y2 - 13 April 2009 through 16 April 2009
ER -