Even though existence of non-convergent evolution of the states of populations in ecological and evolutionary contexts is an undeniable fact, insightful game-theoretic interpretations of such outcomes are scarce in the literature of evolutionary game theory. Here we tap into the information-theoretic concept of relative entropy in order to construct a game-theoretic interpretation for periodic orbits in a wide class of evolutionary game dynamics. Effectively, we present a consistent generalization of the evolutionarily stable strategy-the cornerstone of the evolutionary game theory-and aptly term the generalized concept: information stable orbit. The information stable orbit captures the essence of the evolutionarily stable strategy in that it compares the total payoff obtained against an evolving mutant with the total payoff that the mutant gets while playing against itself. Furthermore, we discuss the connection of the information stable orbit with the dynamical stability of the corresponding periodic orbit.
翻译:尽管在生态和进化背景下人口状态的非和谐演变的存在是一个不可否认的事实,但在进化游戏理论的文献中,对这种结果的有见地的游戏理论解释却很少见。在这里,我们利用了相对酶的信息理论概念,以便在广泛的进化游戏动态中为周期轨道构建一种游戏理论解释。实际上,我们对进化稳定战略的一贯概括——进化游戏理论的基石,也是进化游戏理论的恰当术语:信息稳定轨道。信息稳定轨道捕捉了进化稳定战略的精髓,将进化变异者获得的总报酬与变异者在自身竞争中获得的总报酬进行比较。此外,我们讨论了信息稳定轨道与相应周期轨道动态稳定性之间的联系。