Title :
An Existence Result for Hierarchical Stackelberg v/s Stackelberg Games
Author :
Kulkarni, Ankur A. ; Shanbhag, Uday V.
Author_Institution :
Syst. & Control Eng. Group, Indian Insitute of Technol. Bombay, Mumbai, India
Abstract :
In a hierarchical Stackelberg v/s Stackelberg game, a collection of players called leaders play a Nash game constrained by the equilibrium conditions of a distinct Nash game played amongst another set of players, called followers. Generically, follower equilibria are non-unique as a function of leader strategies and the decision problems of leaders are highly nonconvex and lacking in standard regularity conditions. Consequently, the provision of sufficient conditions for the existence of global or even local equilibria remains a largely open question. In this paper, we present what is possibly the first general existence result for equilibria for this class of games. Importantly, we impose no single-valuedness assumption on the equilibrium of the follower-level game. Specifically, under the assumption that the objectives of the leaders admit a quasi-potential function, a notion introduced in this paper, the global and local minimizers of a suitably defined optimization problem are shown to be the global and local equilibria of the game. In effect, existence of equilibria can be guaranteed by the solvability of an optimization problem which holds under mild conditions. We motivate quasi-potential games through an application in communication networks.
Keywords :
game theory; minimisation; Nash game; communication networks; decision problems; equilibrium conditions; follower equilibria; follower-level game; game players; global equilibria; global minimizer; hierarchical Stackelberg v/s Stackelberg game; leader strategies; local equilibria; local minimizer; mild conditions; nonconvex problem; optimization problem; quasipotential function; quasipotential games; single-valuedness; standard regularity conditions; sufficient conditions; Communication networks; Games; Linear programming; Nash equilibrium; Optimization; Reliability; Standards; Game theory; Stackelberg equilibrium; hierarchical systems; optimization; potential games;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2015.2423891