# Convergence method, properties and computational complexity for Lyapunov games

Julio B. Clempner; Alexander S. Poznyak

International Journal of Applied Mathematics and Computer Science (2011)

- Volume: 21, Issue: 2, page 349-361
- ISSN: 1641-876X

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topJulio B. Clempner, and Alexander S. Poznyak. "Convergence method, properties and computational complexity for Lyapunov games." International Journal of Applied Mathematics and Computer Science 21.2 (2011): 349-361. <http://eudml.org/doc/208052>.

@article{JulioB2011,

abstract = {We introduce the concept of a Lyapunov game as a subclass of strictly dominated games and potential games. The advantage of this approach is that every ergodic system (repeated game) can be represented by a Lyapunov-like function. A direct acyclic graph is associated with a game. The graph structure represents the dependencies existing between the strategy profiles. By definition, a Lyapunov-like function monotonically decreases and converges to a single Lyapunov equilibrium point identified by the sink of the game graph. It is important to note that in previous works this convergence has not been guaranteed even if the Nash equilibrium point exists. The best reply dynamics result in a natural implementation of the behavior of a Lyapunov-like function. Therefore, a Lyapunov game has also the benefit that it is common knowledge of the players that only best replies are chosen. By the natural evolution of a Lyapunov-like function, no matter what, a strategy played once is not played again. As a construction example, we show that, for repeated games with bounded nonnegative cost functions within the class of differentiable vector functions whose derivatives satisfy the Lipschitz condition, a complex vector-function can be built, where each component is a function of the corresponding cost value and satisfies the condition of the Lyapunov-like function. The resulting vector Lyapunov-like function is a monotonic function which can only decrease over time. Then, a repeated game can be represented by a one-shot game. The functionality of the suggested method is successfully demonstrated by a simulated experiment.},

author = {Julio B. Clempner, Alexander S. Poznyak},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {Lyapunov game; Lyapunov equilibrium point; best reply; repeated games; forward decision process},

language = {eng},

number = {2},

pages = {349-361},

title = {Convergence method, properties and computational complexity for Lyapunov games},

url = {http://eudml.org/doc/208052},

volume = {21},

year = {2011},

}

TY - JOUR

AU - Julio B. Clempner

AU - Alexander S. Poznyak

TI - Convergence method, properties and computational complexity for Lyapunov games

JO - International Journal of Applied Mathematics and Computer Science

PY - 2011

VL - 21

IS - 2

SP - 349

EP - 361

AB - We introduce the concept of a Lyapunov game as a subclass of strictly dominated games and potential games. The advantage of this approach is that every ergodic system (repeated game) can be represented by a Lyapunov-like function. A direct acyclic graph is associated with a game. The graph structure represents the dependencies existing between the strategy profiles. By definition, a Lyapunov-like function monotonically decreases and converges to a single Lyapunov equilibrium point identified by the sink of the game graph. It is important to note that in previous works this convergence has not been guaranteed even if the Nash equilibrium point exists. The best reply dynamics result in a natural implementation of the behavior of a Lyapunov-like function. Therefore, a Lyapunov game has also the benefit that it is common knowledge of the players that only best replies are chosen. By the natural evolution of a Lyapunov-like function, no matter what, a strategy played once is not played again. As a construction example, we show that, for repeated games with bounded nonnegative cost functions within the class of differentiable vector functions whose derivatives satisfy the Lipschitz condition, a complex vector-function can be built, where each component is a function of the corresponding cost value and satisfies the condition of the Lyapunov-like function. The resulting vector Lyapunov-like function is a monotonic function which can only decrease over time. Then, a repeated game can be represented by a one-shot game. The functionality of the suggested method is successfully demonstrated by a simulated experiment.

LA - eng

KW - Lyapunov game; Lyapunov equilibrium point; best reply; repeated games; forward decision process

UR - http://eudml.org/doc/208052

ER -

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