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Transition matrix model for evolutionary game dynamics
Author(s) -
G. Bard Ermentrout,
Christopher Griffin,
Andrew Belmonte
Publication year - 2016
Publication title -
physical review. e
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.896
H-Index - 304
eISSN - 2470-0053
pISSN - 2470-0045
DOI - 10.1103/physreve.93.032138
Subject(s) - replicator equation , normal form game , hopf bifurcation , nash equilibrium , population , mathematical economics , matrix (chemical analysis) , evolutionary game theory , evolutionary dynamics , function (biology) , limit (mathematics) , bifurcation , mathematics , transition (genetics) , dynamics (music) , game theory , statistical physics , repeated game , physics , mathematical analysis , nonlinear system , evolutionary biology , biology , demography , quantum mechanics , materials science , sociology , composite material , biochemistry , gene , acoustics
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.

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