Transition matrix model for evolutionary game dynamics.

G Bard Ermentrout, Christopher Griffin, Andrew Belmonte
Author Information
  1. G Bard Ermentrout: Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA.
  2. Christopher Griffin: Mathematics Department, United States Naval Academy, Annapolis, Maryland 21402, USA.
  3. Andrew Belmonte: Department of Mathematics, Pennsylvania State University, University Park, Pennsylvania 16802, USA.

Abstract

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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