Indirect co-evolution for understanding belief in an incomplete information dynamic game
暂无分享,去创建一个
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and it indirect co-evolution. This algorithm is applied to investigate properties of players' belief and of information incompleteness in a dynamic game.
[1] J. Pollack,et al. Challenges in coevolutionary learning: arms-race dynamics, open-endedness, and medicocre stable states , 1998 .
[2] Nanlin Jin,et al. Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences , 2005, 2005 IEEE Congress on Evolutionary Computation.
[3] A. Rubinstein. A BARGAINING MODEL WITH INCOMPLETE INFORMATION ABOUT TIME PREFERENCES , 1985 .