Transition matrix model for evolutionary game dynamics

被引:13
|
作者
Ermentrout, G. Bard [1 ]
Griffin, Christopher [2 ]
Belmonte, Andrew [3 ]
机构
[1] Univ Pittsburgh, Dept Math, Pittsburgh, PA 15260 USA
[2] US Naval Acad, Dept Math, Annapolis, MD 21402 USA
[3] Penn State Univ, Dept Math, University Pk, PA 16802 USA
基金
美国国家科学基金会;
关键词
D O I
10.1103/PhysRevE.93.032138
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
We study an evolutionary game model based on a transition matrix approach, in which the total change in the proportion of a population playing a given strategy is summed directly over contributions from all other strategies. This general approach combines aspects of the traditional replicator model, such as preserving unpopulated strategies, with mutation-type dynamics, which allow for nonzero switching to unpopulated strategies, in terms of a single transition function. Under certain conditions, this model yields an endemic population playing non-Nash-equilibrium strategies. In addition, a Hopf bifurcation with a limit cycle may occur in the generalized rock-scissors-paper game, unlike the replicator equation. Nonetheless, many of the Folk Theorem results are shown to hold for this model.
引用
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页数:10
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