Computing Nash Equilibria for Multiplayer Symmetric Games Based on Tensor Form

被引:0
|
作者
Liu, Qilong [1 ]
Liao, Qingshui [1 ]
机构
[1] Guizhou Normal Univ, Sch Math Sci, Guiyang 550025, Peoples R China
关键词
k-mode symmetric tensor; tensor complementary problem; m-person game; symmetric Nash equilibrium; EVOLUTION; DYNAMICS;
D O I
10.3390/math11102268
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In an m-person symmetric game, all players are identical and indistinguishable. In this paper, we find that the payoff tensor of the player k in an m-person symmetric game is k-mode symmetric, and the payoff tensors of two different individuals are the transpose of each other. Furthermore, we reformulate the m-person symmetric game as a tensor complementary problem and demonstrate that locating a symmetric Nash equilibrium is equivalent to finding a solution to the resulting tensor complementary problem. Finally, we use the hyperplane projection algorithm to solve the resulting tensor complementary problem, and we present some numerical results to find the symmetric Nash equilibrium.
引用
下载
收藏
页数:17
相关论文
共 50 条
  • [41] Computing Nash Equilibria in Bimatrix Games: GPU-Based Parallel Support Enumeration
    Rampersaud, Safraz
    Mashayekhy, Lena
    Grosu, Daniel
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2014, 25 (12) : 3111 - 3123
  • [42] Approximate Well-Supported Nash Equilibria in Symmetric Bimatrix Games
    Czumaj, Artur
    Fasoulakis, Michail
    Jurdzinski, Marcin
    ALGORITHMIC GAME THEORY, SAGT 2014, 2014, 8768 : 244 - 254
  • [43] Approximate well-supported nash equilibria in symmetric bimatrix games
    Czumaj, Artur
    Fasoulakis, Michail
    Jurdziński, Marcin
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8768 : 244 - 254
  • [44] The limit distribution of pure strategy Nash equilibria in symmetric bimatrix games
    Stanford, W
    MATHEMATICS OF OPERATIONS RESEARCH, 1996, 21 (03) : 726 - 733
  • [45] Computing Exact and Approximate Nash Equilibria in 2-Player Games
    Bilo, Vittorio
    Fanelli, Angelo
    ALGORITHMIC ASPECTS IN INFORMATION AND MANAGEMENT, 2010, 6124 : 58 - +
  • [46] Computing approximate Nash equilibria in general network revenue management games
    Grauberger, W.
    Kimms, A.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2014, 237 (03) : 1008 - 1020
  • [47] Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games
    Zhang, Youzhi
    An, Bo
    Cerny, Jakub
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 5813 - 5821
  • [48] A Semi-Tensor Product Approach to Finding Nash Equilibria for Static Games
    Guo Peilian
    Wang Yuzhen
    Li Haitao
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 107 - 112
  • [49] A survey on algorithms for Nash equilibria in finite normal-form games
    Li, Hanyu
    Huang, Wenhan
    Duan, Zhijian
    Mguni, David Henry
    Shao, Kun
    Wang, Jun
    Deng, Xiaotie
    COMPUTER SCIENCE REVIEW, 2024, 51
  • [50] Further results on essential Nash equilibria in normal-form games
    Oriol Carbonell-Nicolau
    Economic Theory, 2015, 59 : 277 - 300