ATP-group, CMAF, Instituto para a Investigação Interdisciplinar, P-1649-003 Lisboa Codex, Portugal.
J Theor Biol. 2012 Dec 21;315:81-6. doi: 10.1016/j.jtbi.2012.09.001. Epub 2012 Sep 12.
In many real-life situations, the completion of a task by a group toward achieving a common goal requires the cooperation of at least some of its members, who share the required workload. Such cases are conveniently modeled by the N-person snowdrift game, an example of a Public Goods Game. Here we study how an underlying network of contacts affects the evolutionary dynamics of collective action modeled in terms of such a Public Goods Game. We analyze the impact of different types of networks in the global, population-wide dynamics of cooperators and defectors. We show that homogeneous social structures enhance the chances of coordinating toward stable levels of cooperation, while heterogeneous network structures create multiple internal equilibria, departing significantly from the reference scenario of a well-mixed, structureless population.
在许多现实生活情境中，一个团队完成一项任务以实现共同目标，至少需要其中一些成员的合作，他们分担所需的工作量。这种情况可以通过 N 人雪球博弈来方便地建模，这是公共物品博弈的一个例子。在这里，我们研究了底层联系网络如何影响集体行动的进化动态，这种集体行动是根据这种公共物品博弈来建模的。我们分析了不同类型的网络在全球范围内、人口范围内的合作者和破坏者的动态中的影响。我们表明，同质的社会结构增强了协调到稳定合作水平的机会，而异质的网络结构则创造了多个内部平衡点，与无结构的均匀混合人群的参考情景有很大的偏离。
