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Computing Nash Equilibria for Multiplayer Symmetric Games Based on Tensor Form
by
Liu, Qilong
, Liao, Qingshui
in
Algorithms
/ Equilibrium
/ Food science
/ Game theory
/ Games
/ Hyperplanes
/ k-mode symmetric tensor
/ m-person game
/ Mathematical analysis
/ symmetric Nash equilibrium
/ tensor complementary problem
/ Tensors
/ Utility functions
2023
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Computing Nash Equilibria for Multiplayer Symmetric Games Based on Tensor Form
by
Liu, Qilong
, Liao, Qingshui
in
Algorithms
/ Equilibrium
/ Food science
/ Game theory
/ Games
/ Hyperplanes
/ k-mode symmetric tensor
/ m-person game
/ Mathematical analysis
/ symmetric Nash equilibrium
/ tensor complementary problem
/ Tensors
/ Utility functions
2023
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Do you wish to request the book?
Computing Nash Equilibria for Multiplayer Symmetric Games Based on Tensor Form
by
Liu, Qilong
, Liao, Qingshui
in
Algorithms
/ Equilibrium
/ Food science
/ Game theory
/ Games
/ Hyperplanes
/ k-mode symmetric tensor
/ m-person game
/ Mathematical analysis
/ symmetric Nash equilibrium
/ tensor complementary problem
/ Tensors
/ Utility functions
2023
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Computing Nash Equilibria for Multiplayer Symmetric Games Based on Tensor Form
Journal Article
Computing Nash Equilibria for Multiplayer Symmetric Games Based on Tensor Form
2023
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Overview
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.
Publisher
MDPI AG
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