Modeling Multileader–Follower Noncooperative Stackelberg Games

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

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)650-673
Number of pages24
JournalCybernetics and Systems
Volume47
Issue number8
DOIs
StatePublished - 16 Nov 2016

Keywords

  • Extraproximal method
  • Markov chains
  • Nash
  • Stackelberg games
  • multiple leader–follower

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