Modeling Multileader–Follower Noncooperative Stackelberg Games

Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

25 Citas (Scopus)

Resumen

This paper presents a Stackelberg–Nash game for modeling multiple leaders and followers. The model involves two Nash games restricted by a Stackelberg game. We propose a computational approach to find the equilibrium point based on the extraproximal method for ergodic controlled finite Markov chains. The extraproximal method consists of a two-step iterated procedure: the first step is a prediction and the second is a basic adjustment of the previous step. We formulate the game as coupled nonlinear programming problems using the Lagrange principle. The Tikhonov’s regularization method is used to guarantee the convergence to a unique equilibrium point. Validity of the method is demonstrated applying this framework to model an oligopoly competition.

Idioma originalInglés
Páginas (desde-hasta)650-673
Número de páginas24
PublicaciónCybernetics and Systems
Volumen47
N.º8
DOI
EstadoPublicada - 16 nov. 2016

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