SCIENCE CHINA Information Sciences, Volume 64, Issue 6: 169202(2021) https://doi.org/10.1007/s11432-019-9926-2

Profile-dynamic based fictitious play

More info
  • ReceivedFeb 1, 2019
  • AcceptedMay 30, 2019
  • PublishedMay 15, 2020


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant Nos. 61773371, 61733018).


[1] Brown G W. Iterative solution of games by fictitious play. Activ Anal Prod Allocation, 1951, 13: 374--376. Google Scholar

[2] Cheng D Z, Xu T T, Qi H S. Evolutionarily Stable Strategy of Networked Evolutionary Games. IEEE Trans Neural Netw Learning Syst, 2014, 25: 1335-1345 CrossRef Google Scholar

[3] Cheng D Z, He F H, Qi H S. Modeling, Analysis and Control of Networked Evolutionary Games. IEEE Trans Automat Contr, 2015, 60: 2402-2415 CrossRef Google Scholar

[4] Cheng D Z, Qi H S, Li Z. Analysis and Control of Boolean Networks: A Semi-tensor Product Approach. London: Springer, 2011. Google Scholar

[5] Lu J Q, Li H T, Liu Y. Survey on semi-tensor product method with its applications in logical networks and other finite-valued systems. CrossRef Google Scholar

[6] Cheng D Z, Qi H S, Liu Z Q. From STP to game-based control. Sci China Inf Sci, 2018, 61: 010201 CrossRef Google Scholar

[7] Li C X, He F H, Liu T. Symmetry-based decomposition of finite games. Sci China Inf Sci, 2019, 62: 012207 CrossRef Google Scholar

[8] Li H T, Ding X Y. A Control Lyapunov Function Approach to Feedback Stabilization of Logical Control Networks. SIAM J Control Optim, 2019, 57: 810-831 CrossRef Google Scholar

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1       京公网安备11010102003388号