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多元宇宙中的进化博弈。

Evolutionary games in the multiverse.

机构信息

Emmy-Noether Group for Evolutionary Dynamics, Department of Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany.

出版信息

Proc Natl Acad Sci U S A. 2010 Mar 23;107(12):5500-4. doi: 10.1073/pnas.0912214107. Epub 2010 Mar 8.

Abstract

Evolutionary game dynamics of two players with two strategies has been studied in great detail. These games have been used to model many biologically relevant scenarios, ranging from social dilemmas in mammals to microbial diversity. Some of these games may, in fact, take place between a number of individuals and not just between two. Here we address one-shot games with multiple players. As long as we have only two strategies, many results from two-player games can be generalized to multiple players. For games with multiple players and more than two strategies, we show that statements derived for pairwise interactions no longer hold. For two-player games with any number of strategies there can be at most one isolated internal equilibrium. For any number of players with any number of strategies , there can be at most isolated internal equilibria. Multiplayer games show a great dynamical complexity that cannot be captured based on pairwise interactions. Our results hold for any game and can easily be applied to specific cases, such as public goods games or multiplayer stag hunts.

摘要

已经详细研究了具有两种策略的两个玩家的进化博弈动态。这些游戏被用于模拟许多与生物学相关的场景,从哺乳动物中的社会困境到微生物多样性。这些游戏中的一些实际上可能发生在多个个体之间,而不仅仅是两个个体之间。在这里,我们研究了具有多个参与者的单次博弈。只要我们只有两种策略,许多来自两人游戏的结果就可以推广到多个参与者。对于具有多个参与者和超过两种策略的游戏,我们表明,源自两两相互作用的陈述不再成立。对于具有任意数量策略的两人游戏,最多只能有一个孤立的内部平衡点。对于具有任意数量策略的任意数量的参与者,最多只能有孤立的内部平衡点。多人游戏显示出很大的动态复杂性,不能基于两两相互作用来捕捉。我们的结果适用于任何博弈,并且可以很容易地应用于特定情况,例如公共物品博弈或多人追逐游戏。

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