In real game situations, players are often not perfectly informed about true states but can observe signals, and decision-making may involve several periods. In order to formulate such situations, this paper uses a hidden Markov model to describe the state process, thus introducing a repeated game with hidden Markovian states, called hidden Markov Bayesian game. For the new model, ...
Jin Peng 0 Jinwu Gao 0 0 J. Gao School of Information, Renmin University of China , Beijing 100872 , China - It is a real pleasure and honor for us to write this preface to the special issue of
Yuhong Sheng 0 Jinwu Gao 1 0 Department of Mathematical Sciences, Tsinghua University , Beijing 100084, China 1 School of Information, Renmin University of China , Beijing 100872, China A network
Xiangfeng Yang 0 Jinwu Gao 0 0 Uncertain Systems Lab, School of Information, Renmin University of China , Beijing 100872, China Uncertainty theory provides us an alternative for modeling human
. The third paper by Jinwu Gao and Yueshan Yu investigated a finite extensive game with fuzzy payoffs. They defined the solution concepts of credibilistic equilibria and credibilistic subgame perfect ... kernelbased online regression. They gave a theoretical analysis of the strategy and a performance test on four benchmark data sets. The seventh paper by Xiaowei Chen and Jinwu Gao derived the term-structure