On Games With Coupled Constraints

被引:13
|
作者
Arslan, Gurdal [1 ]
Demirkol, M. Fatih [2 ]
Yuksel, Serdar [3 ]
机构
[1] Univ Hawaii Manoa, Dept Elect Engn, Honolulu, HI 96822 USA
[2] Avea Iletisim Hizmetleri AS, Istanbul, Turkey
[3] Queens Univ, Dept Math & Stat, Kingston, ON K7L 3N6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Game theory; generalized equilibrium; learning; optimization; penalty methods; STREAM CONTROL; EQUILIBRIUM; CAPACITY;
D O I
10.1109/TAC.2014.2346011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We study a general cost minimization game in which each player minimizes the cost of its resource consumption while achieving a target utility level. The player strategies are coupled through both their cost functions and their utility functions. Equilibrium exists only for certain target utility levels, and is characterized by the equilibrium of a dual game in which each player maximizes its utility while keeping the cost of its resource consumption below a cost threshold. We show that the dual game possesses equilibrium under very mild conditions, in particular with no a priori assumption on the compactness of player strategy sets. We also obtain an inner estimate of the set of equilibrium utility levels in the case of decoupled cost functions by a minimax approach. We then relax the hard constraint on achieving a target utility level, and introduce an unconstrained weighted cost minimization game which always possesses equilibrium. Under mild conditions, we recover the original equilibrium as the penalty on not achieving the target utility levels increases. Finally, we discuss the possibility of learning to play an equilibrium strategy via the best response dynamics.
引用
收藏
页码:358 / 372
页数:15
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